* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘SLOPE’ ...
** this is package ‘SLOPE’ version ‘1.0.1’
** package ‘SLOPE’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’
using C++17
make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp8NAayj/R.INSTALL30cf8c72585d36/SLOPE/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:20:74:   required from here
   20 |     Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type x(xSEXP);
      |                                                                          ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:20:74:   required from here
   20 |     Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type x(xSEXP);
      |                                                                          ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from ‘class Rcpp::ConstReferenceInputParameter<Eigen::Array<double, -1, 1> >’
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:21:83:   required from here
   21 |     Rcpp::traits::input_parameter< const Eigen::ArrayXd& >::type lambda(lambdaSEXP);
      |                                                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>]’
   77 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseMatrix<double, 0, int>; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double, 0, int>; Src = Eigen::SparseMatrix<double, 0, int>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
  713 |       *this = other.derived();
      |       ~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/RcppEigenWrap.h:387:24:   required from ‘Eigen::SparseMatrix<Scalar> Rcpp::traits::Exporter<Eigen::SparseMatrix<Scalar> >::get() [with T = double]’
  387 |                 return ans;
      |                        ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/as.h:89:32:   required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
   89 |             return exporter.get();
      |                    ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/as.h:152:31:   required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
  152 |         return internal::as<T>(x, typename traits::r_type_traits<T>::r_category());
      |                ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include/Rcpp/InputParameter.h:46:54:   required from ‘Rcpp::ReferenceInputParameter<T>::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix<double, 0, int>; SEXP = SEXPREC*]’
   46 |         ReferenceInputParameter(SEXP x_) : obj( as<T>(x_) ){}
      |                                                 ~~~~~^~~~
RcppExports.cpp:48:80:   required from here
   48 |     Rcpp::traits::input_parameter< Eigen::SparseMatrix<double>& >::type x(xSEXP);
      |                                                                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c r-exports.cpp -o r-exports.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/regularization_sequence.h:8,
                 from r-exports.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
r-exports.cpp:9:71:   required from here
    9 | sortedL1ProxCpp(const Eigen::MatrixXd& x, const Eigen::ArrayXd& lambda)
      |                                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
r-exports.cpp:9:71:   required from here
    9 | sortedL1ProxCpp(const Eigen::MatrixXd& x, const Eigen::ArrayXd& lambda)
      |                                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
r-exports.cpp:13:19:   required from here
   13 |   return norm.prox(x, lambda);
      |          ~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
r-exports.cpp:23:30:   required from here
   23 |                   const int n)
      |                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c rcpp_cv.cpp -o rcpp_cv.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/slope.h:8,
                 from setup_model.h:3,
                 from rcpp_cv.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/diagnostics.h:80:45:   required from here
   80 |     theta.rowwise() -= theta_mean.transpose();
      |                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/diagnostics.h:93:43:   required from here
   93 |   theta.array() /= std::max(1.0, dual_norm);
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/diagnostics.h:95:27:   required from here
   95 |   double dual = loss->dual(theta, y, Eigen::VectorXd::Ones(n));
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:39:26:   required from here
   39 |     x_mod.rightCols(1) = ones;
      |                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/ols.h:51:49:   required from here
   51 |     coeffs = all_coefs.head(all_coefs.size() - 1);
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/ols.h:81:55:   required from here
   81 |     Eigen::VectorXd ones = Eigen::VectorXd::Ones(x_mod.rows());
      |                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:91:35:   required from here
   91 |     temp.leftCols(x_mod.cols()) = x_mod;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/slope.h:414:56:   required from here
  414 |       beta0 = loss->link(y.colwise().mean()).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/slope.h:463:53:   required from here
  463 |     int alpha_max_ind = whichMax(gradient.cwiseAbs());
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<Eigen::Matrix<double, -1, 1>, -1, -1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/slope.h:652:40:   required from here
  652 |                     beta.reshaped(p, m).sparseView(),
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:900:32:   required from here
  900 |       working_residual = eta - z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:925:32:   required from here
  925 |       eta = working_residual + z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/cv.h:418:68:   required from here
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                                                                    ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/cv.h:358:51:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  358 |     Eigen::MatrixXd scores = Eigen::MatrixXd::Zero(n_evals, n_alpha);
      |                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/cv.h:379:19:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |         ~~~~~~~~~~^~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
rcpp_cv.cpp:79:19:   required from here
   79 |   if (!x.allFinite()) {
      |        ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:504:47:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  504 |       Eigen::ArrayXd lambda_curr = alpha_curr * lambda;
      |                                    ~~~~~~~~~~~^~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:599:47:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  599 |             screening_rule->checkKktViolations(gradient,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  600 |                                                beta,
      |                                                ~~~~~
  601 |                                                lambda_curr,
      |                                                ~~~~~~~~~~~~
  602 |                                                working_set,
      |                                                ~~~~~~~~~~~~
  603 |                                                x.derived(),
      |                                                ~~~~~~~~~~~~
  604 |                                                residual,
      |                                                ~~~~~~~~~
  605 |                                                this->x_centers,
      |                                                ~~~~~~~~~~~~~~~~
  606 |                                                this->x_scales,
      |                                                ~~~~~~~~~~~~~~~
  607 |                                                jit_normalization,
      |                                                ~~~~~~~~~~~~~~~~~~
  608 |                                                full_set);
      |                                                ~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
slope/slope.h:599:47:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  599 |             screening_rule->checkKktViolations(gradient,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  600 |                                                beta,
      |                                                ~~~~~
  601 |                                                lambda_curr,
      |                                                ~~~~~~~~~~~~
  602 |                                                working_set,
      |                                                ~~~~~~~~~~~~
  603 |                                                x.derived(),
      |                                                ~~~~~~~~~~~~
  604 |                                                residual,
      |                                                ~~~~~~~~~
  605 |                                                this->x_centers,
      |                                                ~~~~~~~~~~~~~~~~
  606 |                                                this->x_scales,
      |                                                ~~~~~~~~~~~~~~~
  607 |                                                jit_normalization,
      |                                                ~~~~~~~~~~~~~~~~~~
  608 |                                                full_set);
      |                                                ~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope.h:652:51:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  652 |                     beta.reshaped(p, m).sparseView(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1>, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/folds.h:136:31:   required from ‘auto slope::Folds::split(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, size_t, size_t) const [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  136 |     Eigen::MatrixXd y_test = y(test_idx, Eigen::all);
      |                              ~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:268:56:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  268 |   auto [x_train, y_train, x_test, y_test] = folds.split(x, y, fold, rep);
      |                                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from rcpp_cv.cpp:2:
slope/cv.h: In instantiation of ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:278:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  278 |   for (int j = 0; j < path.size(); ++j) {
      |                   ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:669:29:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |               ~~~~~~~~~~~~~~^~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:669:32:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
slope/math.h:669:52:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/cv.h: In instantiation of ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:194:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  194 |     for (int j = 0; j < path.size(); ++j) {
      |                     ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1>, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/cv.h:206:21:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  206 |     auto x_train = x(train_idx, Eigen::all);
      |                    ~^~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/cv.h: In instantiation of ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:218:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  218 |     for (int j = 0; j < path.size(); ++j) {
      |                     ~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]’
  584 |       return m_matrix = extendedTo(other.derived());
      |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/slope.h:415:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  415 |       eta.rowwise() = beta0.transpose();
      |                                       ^
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  306 | class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/slope.h:567:23:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  567 |         theta.array() /= std::max(1.0, dual_norm);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/slope.h:567:23:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  567 |         theta.array() /= std::max(1.0, dual_norm);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:312:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:195:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >, Eigen::internal::IndexBased, double>’
  195 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
slope/slope.h:651:16:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  651 |       SlopeFit fit{ beta0,
      |                ^~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:293:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  293 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from ‘class Eigen::ProductImpl<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2, Eigen::Sparse>’
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::SparseMatrix<double>, Eigen::SparseMatrix<double>, 2>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
slope/slope_fit.h:242:39:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                           ~~~~~~~~~~~~^~~~~~~~~~~~
slope/cv.h:279:31:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  279 |     auto eta = path(j).predict(x_test, "linear");
      |                ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/math.h:665:34:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  665 |   Eigen::VectorXd x_means = means(x);
      |                             ~~~~~^~~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/math.h:665:34:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  665 |   Eigen::VectorXd x_means = means(x);
      |                             ~~~~~^~~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
slope/slope_fit.h:242:39:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                           ~~~~~~~~~~~~^~~~~~~~~~~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from ‘class Eigen::internal::dense_product_base<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0, 8>’
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from ‘class Eigen::ProductImpl<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0, Eigen::Dense>’
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from ‘class Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>’
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
slope/slope_fit.h:242:39:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                           ~~~~~~~~~~~~^~~~~~~~~~~~
slope/cv.h:219:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  219 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::SparseMatrix<double>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  558 | struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:159:14:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~^~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/normalize.h:159:23:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~~~~~~~~~~^~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |            ~~~~~~~~~~^~~~~~~~~~~
slope/normalize.h:42:29:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   42 |     if (!x_centers.allFinite()) {
      |          ~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:202:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  202 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:203:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  203 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]’
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/utils.h:280:22:   required from ‘T slope::subset(const Eigen::SparseMatrixBase<Derived>&, const std::vector<int>&) [with T = Eigen::SparseMatrix<double>]’
  280 |   out.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/folds.h:135:25:   required from ‘auto slope::Folds::split(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, size_t, size_t) const [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  135 |     auto x_test = subset(x.derived(), test_idx);
      |                   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:268:56:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  268 |   auto [x_train, y_train, x_test, y_test] = folds.split(x, y, fold, rep);
      |                                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from slope/slope.h:15:
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
In file included from slope/slope.h:21:
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:23:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:778:30:   required from ‘Eigen::VectorXd slope::mins(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  778 |   return x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:49:21:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   49 |     x_centers = mins(x);
      |                 ~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:553:20:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:727:30:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:727:33:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
slope/normalize.h:42:29:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   42 |     if (!x_centers.allFinite()) {
      |          ~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:202:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  202 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]’
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/utils.h:280:22:   required from ‘T slope::subset(const Eigen::SparseMatrixBase<Derived>&, const std::vector<int>&) [with T = Eigen::SparseMatrix<double>]’
  280 |   out.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/folds.h:135:25:   required from ‘auto slope::Folds::split(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, size_t, size_t) const [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; size_t = long unsigned int]’
  135 |     auto x_test = subset(x.derived(), test_idx);
      |                   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:268:56:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  268 |   auto [x_train, y_train, x_test, y_test] = folds.split(x, y, fold, rep);
      |                                             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]’
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/math.h:209:19:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  209 |     eta.rowwise() += beta0.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:274:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Array<double, -1, 1>]’
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  109 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
slope/cv.h:417:48:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  417 |     result.mean_scores = scores.colwise().mean();
      |                                                ^
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:598:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:778:30:   required from ‘Eigen::VectorXd slope::mins(const Eigen::MatrixBase<Derived>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  778 |   return x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:49:21:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   49 |     x_centers = mins(x);
      |                 ~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:669:29:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |               ~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:669:32:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
slope/math.h:669:52:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_sum<double, double>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:502:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:553:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:727:30:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:727:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_min_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<double, double, 0>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  433 |   return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |       return minCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:433:26:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  433 |       if (lambda.minCoeff() < 0) {
      |           ~~~~~~~~~~~~~~~^~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  549 | struct unary_evaluator<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >, Eigen::internal::IteratorBased, double>’
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:280:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>’
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Array<double, -1, 1>; Functor = assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Array<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>]’
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]’
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:23:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/slope.h:540:38:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/cv.h:418:32:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                         ~~~~~~~^~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:215:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  215 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:457:37:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, AllRange<-1> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:159:26:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:71:45:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   71 |          std::pow(x_centers(j), 2) * w_v.sum()) /
      |                                      ~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:244:33:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:893:66:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  893 |       double norm_grad = cluster_gradient.lpNorm<Eigen::Infinity>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Transpose<const Eigen::SparseMatrix<double> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from ‘class Eigen::internal::SparseTransposeImpl<const Eigen::SparseMatrix<double>, 1024>’
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from ‘class Eigen::TransposeImpl<const Eigen::SparseMatrix<double>, Eigen::Sparse>’
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::SparseMatrix<double> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8; Scalar = double]’
  216 |     internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
      |                                         ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83:   required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::SparseShape, ProductType>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Rhs = Eigen::SparseMatrix<double>; int ProductType = 8; Scalar = double]’
  216 |     internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
      |                                                                ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:219:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  219 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:67:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:273:30:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::SparseMatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::SparseMatrix<double>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  273 |     path = thread_model.relax(path, x_train, y_train, gamma);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:69:16:   required from here
   69 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:191:32:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  191 |       path = thread_model.relax(path, x_train, y_train, gamma);
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from ‘static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long int]’
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:44:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:219:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  219 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35:   required from ‘static void Eigen::internal::sparse_time_dense_product_impl<SparseLhsType, DenseRhsType, DenseResType, typename DenseResType::Scalar, 1, false>::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all<Arg2Type>::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose<const Eigen::SparseMatrix<double> >; DenseRhsType = Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; DenseResType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; LhsEval = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::SparseMatrix<double> > >; Res = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::remove_all<Arg2Type>::type::Scalar = double; Eigen::Index = long int]’
  145 |       res_i += (alpha*it.value()) * rhs.row(it.index());
      |                ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:219:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  219 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:195:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  195 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:212:34:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  212 |     auto path = thread_model.path(x_train, y_train, alphas);
      |                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, AllRange<-1> > >, 1, -1, true> >; Functor = add_assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >, Eigen::SparseMatrix<double>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  423 |       : Base(other.derived())
      |                             ^
slope/slope_fit.h:242:21:   required from ‘Eigen::MatrixXd slope::SlopeFit::predict(Eigen::EigenBase<Derived>&, const std::string&) const [with T = Eigen::IndexedView<Eigen::Matrix<double, -1, -1>, std::vector<int>, Eigen::internal::AllRange<-1> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; std::string = std::__cxx11::basic_string<char>]’
  242 |     Eigen::MatrixXd eta = x.derived() * getCoefs();
      |                     ^~~
slope/cv.h:219:33:   required from ‘Eigen::ArrayXd slope::fitToFold(Eigen::MatrixBase<Derived>&, const Eigen::MatrixXd&, const Folds&, const std::unique_ptr<Loss>&, const std::unique_ptr<Score>&, const Eigen::ArrayXd&, Slope&, int, int, double, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  219 |       auto eta = path(j).predict(x_test, "linear");
      |                  ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
slope/cv.h:379:34:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  379 |         scores.row(i) = fitToFold(x.derived(),
      |                         ~~~~~~~~~^~~~~~~~~~~~~
  380 |                                   y,
      |                                   ~~
  381 |                                   folds,
      |                                   ~~~~~~
  382 |                                   loss,
      |                                   ~~~~~
  383 |                                   scorer,
      |                                   ~~~~~~~
  384 |                                   result.alphas,
      |                                   ~~~~~~~~~~~~~~
  385 |                                   thread_model,
      |                                   ~~~~~~~~~~~~~
  386 |                                   fold,
      |                                   ~~~~~
  387 |                                   rep,
      |                                   ~~~~
  388 |                                   gamma,
      |                                   ~~~~~~
  389 |                                   config.copy_x);
      |                                   ~~~~~~~~~~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
slope/cv.h:351:35:   required from ‘slope::CvResult slope::crossValidate(Slope, Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, const CvConfig&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  351 |     auto initial_path = model.path(x, y);
      |                         ~~~~~~~~~~^~~~~~
rcpp_cv.cpp:53:27:   required from ‘Rcpp::List cvImpl(T&, const Eigen::MatrixXd&, const Rcpp::List&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |   auto res = crossValidate(model, x, y, cv_config);
      |              ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
rcpp_cv.cpp:82:16:   required from here
   82 |   return cvImpl(x, y, cv_args, model_args);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c rcpp_slope.cpp -o rcpp_slope.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/slope.h:8,
                 from setup_model.h:3,
                 from rcpp_slope.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/diagnostics.h:80:45:   required from here
   80 |     theta.rowwise() -= theta_mean.transpose();
      |                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/diagnostics.h:93:43:   required from here
   93 |   theta.array() /= std::max(1.0, dual_norm);
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/diagnostics.h:95:27:   required from here
   95 |   double dual = loss->dual(theta, y, Eigen::VectorXd::Ones(n));
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:39:26:   required from here
   39 |     x_mod.rightCols(1) = ones;
      |                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/ols.h:51:49:   required from here
   51 |     coeffs = all_coefs.head(all_coefs.size() - 1);
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/ols.h:81:55:   required from here
   81 |     Eigen::VectorXd ones = Eigen::VectorXd::Ones(x_mod.rows());
      |                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:91:35:   required from here
   91 |     temp.leftCols(x_mod.cols()) = x_mod;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/slope.h:414:56:   required from here
  414 |       beta0 = loss->link(y.colwise().mean()).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/slope.h:463:53:   required from here
  463 |     int alpha_max_ind = whichMax(gradient.cwiseAbs());
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<Eigen::Matrix<double, -1, 1>, -1, -1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/slope.h:652:40:   required from here
  652 |                     beta.reshaped(p, m).sparseView(),
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:900:32:   required from here
  900 |       working_residual = eta - z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:925:32:   required from here
  925 |       eta = working_residual + z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/shared_ptr.hpp:17,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include/bigmemory/BigMatrix.h:10,
                 from rcpp_slope.cpp:6:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/detail/shared_count.hpp:326:33: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  326 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from /usr/include/c++/14/memory:78,
                 from slope/diagnostics.h:12,
                 from slope/slope.h:10:
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  354 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  365 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  423 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  430 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr<T>& boost::shared_ptr<T>::operator=(std::auto_ptr<_Up>&&)’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: ‘template<class> class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  432 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
/usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::SparseMatrix<int> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<int, double>, const Eigen::SparseMatrix<int>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::SparseMatrix<int> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::SparseMatrix<int>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<int, double>, const Eigen::SparseMatrix<int> > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::SparseMatrixBase<Eigen::SparseMatrix<int> >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::SparseMatrixBase<Eigen::SparseMatrix<int> >::CastXpr<NewType>::Type Eigen::SparseMatrixBase<Eigen::SparseMatrix<int> >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
rcpp_slope.cpp:45:78:   required from here
   45 |       Eigen::SparseMatrix<double> U = slope::patternMatrix(coef).cast<double>();
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
rcpp_slope.cpp:102:17:   required from here
  102 |   Map<MatrixXd> x_map =
      |                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/slope.h:411:34:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  411 |     MatrixXd eta = MatrixXd::Zero(n, m); // linear predictor
      |                    ~~~~~~~~~~~~~~^~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:504:47:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  504 |       Eigen::ArrayXd lambda_curr = alpha_curr * lambda;
      |                                    ~~~~~~~~~~~^~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:599:47:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  599 |             screening_rule->checkKktViolations(gradient,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  600 |                                                beta,
      |                                                ~~~~~
  601 |                                                lambda_curr,
      |                                                ~~~~~~~~~~~~
  602 |                                                working_set,
      |                                                ~~~~~~~~~~~~
  603 |                                                x.derived(),
      |                                                ~~~~~~~~~~~~
  604 |                                                residual,
      |                                                ~~~~~~~~~
  605 |                                                this->x_centers,
      |                                                ~~~~~~~~~~~~~~~~
  606 |                                                this->x_scales,
      |                                                ~~~~~~~~~~~~~~~
  607 |                                                jit_normalization,
      |                                                ~~~~~~~~~~~~~~~~~~
  608 |                                                full_set);
      |                                                ~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope.h:652:51:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  652 |                     beta.reshaped(p, m).sparseView(),
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
rcpp_slope.cpp:87:19:   required from here
   87 |   if (!x.allFinite()) {
      |        ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]’
  584 |       return m_matrix = extendedTo(other.derived());
      |                         ~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/slope.h:415:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  415 |       eta.rowwise() = beta0.transpose();
      |                                       ^
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  306 | class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/slope.h:567:23:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  567 |         theta.array() /= std::max(1.0, dual_norm);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from ‘Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/slope.h:567:23:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  567 |         theta.array() /= std::max(1.0, dual_norm);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:312:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:195:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >, Eigen::internal::IndexBased, double>’
  195 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
slope/slope.h:651:16:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  651 |       SlopeFit fit{ beta0,
      |                ^~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:293:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  293 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/normalize.h:159:14:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~^~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/normalize.h:159:23:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~~~~~~~~~~^~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  558 | struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from slope/slope.h:15:
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
In file included from slope/slope.h:21:
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/math.h: In instantiation of ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’:
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
slope/math.h:795:13: warning: unused variable ‘p’ [-Wunused-variable]
  795 |   const int p = x.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |            ~~~~~~~~~~^~~~~~~~~~~
slope/normalize.h:42:29:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   42 |     if (!x_centers.allFinite()) {
      |          ~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:202:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  202 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:203:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  203 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]’
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/math.h:209:19:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  209 |     eta.rowwise() += beta0.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
slope/slope.h:847:42:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  847 |     Eigen::MatrixXd eta = linearPredictor(x,
      |                           ~~~~~~~~~~~~~~~^~~
  848 |                                           working_set,
      |                                           ~~~~~~~~~~~~
  849 |                                           beta0,
      |                                           ~~~~~~
  850 |                                           beta,
      |                                           ~~~~~
  851 |                                           x_centers,
      |                                           ~~~~~~~~~~
  852 |                                           x_scales,
      |                                           ~~~~~~~~~
  853 |                                           jit_normalization,
      |                                           ~~~~~~~~~~~~~~~~~~
  854 |                                           intercept);
      |                                           ~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:274:62:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  274 |     Eigen::VectorXd weighted_residual = w.col(k).cwiseProduct(residual.col(k));
      |                                         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:47:22:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   47 |     x_centers = means(x);
      |                 ~~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:47:22:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   47 |     x_centers = means(x);
      |                 ~~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:778:30:   required from ‘Eigen::VectorXd slope::mins(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  778 |   return x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:49:21:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   49 |     x_centers = mins(x);
      |                 ~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:669:29:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |               ~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:669:32:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
slope/math.h:669:52:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:553:20:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:727:30:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:727:33:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:47:22:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   47 |     x_centers = means(x);
      |                 ~~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:598:26:   required from ‘Eigen::VectorXd slope::means(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  598 |   return x.colwise().mean();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:47:22:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   47 |     x_centers = means(x);
      |                 ~~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:778:30:   required from ‘Eigen::VectorXd slope::mins(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  778 |   return x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:49:21:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   49 |     x_centers = mins(x);
      |                 ~~~~^~~
slope/normalize.h:132:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  132 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:669:29:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |               ~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:669:32:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
slope/math.h:669:52:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:457:31:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39:   required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   43 |   typedef typename MatrixType::Scalar InputScalar;
      |                                       ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:23:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   23 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum<double, double>, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.h:553:20:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.h:727:30:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_maxCoeff<double, double>, 0>, const Eigen::PartialReduxExpr<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_minCoeff<double, double>, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:727:33:   required from ‘Eigen::VectorXd slope::ranges(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  727 |   return x.colwise().maxCoeff() - x.colwise().minCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
slope/normalize.h:94:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   94 |     x_scales = ranges(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from ‘bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]’
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from ‘bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]’
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
slope/normalize.h:42:29:   required from ‘void slope::computeCenters(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   42 |     if (!x_centers.allFinite()) {
      |          ~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:202:17:   required from ‘slope::JitNormalization slope::normalize(Eigen::SparseMatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  202 |   computeCenters(x_centers, x, centering_type);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  549 | struct unary_evaluator<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:280:44:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >, Eigen::internal::IteratorBased, double>’
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:280:44:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:470:48:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  470 |       double beta0_update = residual.col(k).dot(w.col(k)) / n;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_min_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<double, double, 0>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  433 |   return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |       return minCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:433:26:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  433 |       if (lambda.minCoeff() < 0) {
      |           ~~~~~~~~~~~~~~~^~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:67:26:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   67 |                   w_v.dot(residual_v) * x_centers(j)) /
      |                   ~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]’
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:267:22:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  267 |   x_s.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:175:39:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:176:50:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:321:36:   required from ‘void slope::offsetGradient(Eigen::VectorXd&, const T&, const Eigen::VectorXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  321 |           offset(k) * (x.col(j).sum() / n - x_centers(j)) / x_scales(j);
      |                        ~~~~~~~~~~~~^~
slope/slope.h:555:25:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  555 |           offsetGradient(dual_gradient,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  556 |                          x.derived(),
      |                          ~~~~~~~~~~~~
  557 |                          theta_mean,
      |                          ~~~~~~~~~~~
  558 |                          working_set,
      |                          ~~~~~~~~~~~~
  559 |                          this->x_centers,
      |                          ~~~~~~~~~~~~~~~~
  560 |                          this->x_scales,
      |                          ~~~~~~~~~~~~~~~
  561 |                          jit_normalization);
      |                          ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/slope.h:540:38:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double>; DupFunctor = scalar_sum_op<double, double>]’
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:267:22:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  267 |   x_s.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Functor = sub_assign_op<double, double>]’
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:28:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Scalar = double]’
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/normalize.h:159:26:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  159 |         x.col(j).array() -= x_centers(j);
      |         ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:71:45:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   71 |          std::pow(x_centers(j), 2) * w_v.sum()) /
      |                                      ~~~~~~~^~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:457:37:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:457:37:   required from ‘Eigen::VectorXd slope::l1Norms(const T&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  457 |     out(j) = x.col(j).cwiseAbs().sum();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:88:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   88 |     x_scales = l1Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:454:19:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  454 |     updateGradient(gradient,
      |     ~~~~~~~~~~~~~~^~~~~~~~~~
  455 |                    x.derived(),
      |                    ~~~~~~~~~~~~
  456 |                    residual,
      |                    ~~~~~~~~~
  457 |                    full_set,
      |                    ~~~~~~~~~
  458 |                    this->x_centers,
      |                    ~~~~~~~~~~~~~~~~
  459 |                    this->x_scales,
      |                    ~~~~~~~~~~~~~~~
  460 |                    Eigen::VectorXd::Ones(n),
      |                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  461 |                    jit_normalization);
      |                    ~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:244:33:   required from ‘static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; RealScalar = double]’
  244 |     return m.cwiseAbs().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
slope/slope.h:893:66:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  893 |       double norm_grad = cluster_gradient.lpNorm<Eigen::Infinity>();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:470:48:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  470 |       double beta0_update = residual.col(k).dot(w.col(k)) / n;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/slope.h:905:52:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  905 |         double max_abs_gradient = coordinateDescent(beta0,
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~
  906 |                                                     beta,
      |                                                     ~~~~~
  907 |                                                     working_residual,
      |                                                     ~~~~~~~~~~~~~~~~~
  908 |                                                     clusters,
      |                                                     ~~~~~~~~~
  909 |                                                     lambda_cumsum_relax,
      |                                                     ~~~~~~~~~~~~~~~~~~~~
  910 |                                                     x,
      |                                                     ~~
  911 |                                                     w,
      |                                                     ~~
  912 |                                                     x_centers,
      |                                                     ~~~~~~~~~~
  913 |                                                     x_scales,
      |                                                     ~~~~~~~~~
  914 |                                                     intercept,
      |                                                     ~~~~~~~~~~
  915 |                                                     jit_normalization,
      |                                                     ~~~~~~~~~~~~~~~~~~
  916 |                                                     update_clusters,
      |                                                     ~~~~~~~~~~~~~~~~
  917 |                                                     rng,
      |                                                     ~~~~
  918 |                                                     cd_type);
      |                                                     ~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:67:26:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   67 |                   w_v.dot(residual_v) * x_centers(j)) /
      |                   ~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::SparseMatrix<double>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:78:19:   required from here
   78 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:39:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:50:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/math.h:826:62:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  826 |       std::tie(hess, grad) = computeClusterGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  827 |         x, j, s, clusters, w, residual, x_centers, x_scales, jit_normalization);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
slope/math.h:669:59:   required from ‘Eigen::VectorXd slope::stdDevs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  669 |     out(j) = (x.col(j).array() - x_means(j)).matrix().norm();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:86:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   86 |     x_scales = stdDevs(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/math.h:823:55:   required from ‘Eigen::VectorXd slope::clusterGradient(Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  823 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  824 |         x, k, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:884:57:   required from ‘slope::SlopeFit slope::Slope::relax(const slope::SlopeFit&, T&, const Eigen::VectorXd&, double, Eigen::VectorXd, Eigen::VectorXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  884 |       Eigen::VectorXd cluster_gradient = clusterGradient(beta,
      |                                          ~~~~~~~~~~~~~~~^~~~~~
  885 |                                                          residual,
      |                                                          ~~~~~~~~~
  886 |                                                          clusters,
      |                                                          ~~~~~~~~~
  887 |                                                          x,
      |                                                          ~~
  888 |                                                          w_ones,
      |                                                          ~~~~~~~
  889 |                                                          x_centers,
      |                                                          ~~~~~~~~~~
  890 |                                                          x_scales,
      |                                                          ~~~~~~~~~
  891 |                                                          jit_normalization);
      |                                                          ~~~~~~~~~~~~~~~~~~
slope/slope.h:987:31:   required from ‘slope::SlopePath slope::Slope::relax(const slope::SlopePath&, T&, const Eigen::VectorXd&, double) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  987 |       auto relaxed_fit = relax(path(i), x, y, gamma);
      |                          ~~~~~^~~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:53:23:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   53 |     path = model.relax(path, x, y, gamma);
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Matrix<double, -1, -1>; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:90:19:   required from here
   90 |   return callSLOPE(x, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:589:40:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:502:26:   required from ‘Eigen::VectorXd slope::l2Norms(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  502 |   return x.colwise().norm();
      |          ~~~~~~~~~~~~~~~~^~
slope/normalize.h:90:23:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   90 |     x_scales = l2Norms(x);
      |                ~~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
slope/math.h:553:41:   required from ‘Eigen::VectorXd slope::maxAbs(const Eigen::MatrixBase<Derived>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  553 |   return x.cwiseAbs().colwise().maxCoeff();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/normalize.h:92:22:   required from ‘void slope::computeScales(Eigen::VectorXd&, const T&, const std::string&) [with T = Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
   92 |     x_scales = maxAbs(x);
      |                ~~~~~~^~~
slope/normalize.h:133:16:   required from ‘slope::JitNormalization slope::normalize(Eigen::MatrixBase<Derived>&, Eigen::VectorXd&, Eigen::VectorXd&, const std::string&, const std::string&, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::string = std::__cxx11::basic_string<char>]’
  133 |   computeScales(x_scales, x, scaling_type);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/slope.h:392:39:   required from ‘slope::SlopePath slope::Slope::path(Eigen::EigenBase<Derived>&, const Eigen::MatrixXd&, Eigen::ArrayXd, Eigen::ArrayXd) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  392 |     auto jit_normalization = normalize(x.derived(),
      |                              ~~~~~~~~~^~~~~~~~~~~~~
  393 |                                        this->x_centers,
      |                                        ~~~~~~~~~~~~~~~~
  394 |                                        this->x_scales,
      |                                        ~~~~~~~~~~~~~~~
  395 |                                        this->centering_type,
      |                                        ~~~~~~~~~~~~~~~~~~~~~
  396 |                                        this->scaling_type,
      |                                        ~~~~~~~~~~~~~~~~~~~
  397 |                                        this->modify_x);
      |                                        ~~~~~~~~~~~~~~~
rcpp_slope.cpp:35:37:   required from ‘Rcpp::List callSLOPE(T&, const Eigen::MatrixXd&, const Rcpp::List&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Rcpp::List = Rcpp::Vector<19>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
   35 |   slope::SlopePath path = model.path(x, y, alpha, lambda);
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
rcpp_slope.cpp:105:19:   required from here
  105 |   return callSLOPE(x_map, y, control);
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c setup_model.cpp -o setup_model.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/slope.h:8,
                 from setup_model.h:3,
                 from setup_model.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/diagnostics.h:80:45:   required from here
   80 |     theta.rowwise() -= theta_mean.transpose();
      |                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/diagnostics.h:93:43:   required from here
   93 |   theta.array() /= std::max(1.0, dual_norm);
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/diagnostics.h:95:27:   required from here
   95 |   double dual = loss->dual(theta, y, Eigen::VectorXd::Ones(n));
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:39:26:   required from here
   39 |     x_mod.rightCols(1) = ones;
      |                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/ols.h:51:49:   required from here
   51 |     coeffs = all_coefs.head(all_coefs.size() - 1);
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/ols.h:81:55:   required from here
   81 |     Eigen::VectorXd ones = Eigen::VectorXd::Ones(x_mod.rows());
      |                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:91:35:   required from here
   91 |     temp.leftCols(x_mod.cols()) = x_mod;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/slope.h:414:56:   required from here
  414 |       beta0 = loss->link(y.colwise().mean()).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/slope.h:463:53:   required from here
  463 |     int alpha_max_ind = whichMax(gradient.cwiseAbs());
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<Eigen::Matrix<double, -1, 1>, -1, -1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/slope.h:652:40:   required from here
  652 |                     beta.reshaped(p, m).sparseView(),
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:900:32:   required from here
  900 |       working_residual = eta - z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:925:32:   required from here
  925 |       eta = working_residual + z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::SparseMatrix<double>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/clusters.cpp -o slope/clusters.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/clusters.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/clusters.cpp: In member function ‘void slope::Clusters::reorder(int, int)’:
slope/clusters.cpp:206:7: warning: unused variable ‘old_ptr’ [-Wunused-variable]
  206 |   int old_ptr = pointer(old_index); // Save pointer for cluster being moved
      |       ^~~~~~~
slope/clusters.cpp:207:7: warning: unused variable ‘new_ptr’ [-Wunused-variable]
  207 |   int new_ptr = pointer(new_index); // Save destination pointer
      |       ^~~~~~~
slope/clusters.cpp: In member function ‘void slope::Clusters::merge(int, int)’:
slope/clusters.cpp:251:8: warning: unused variable ‘c_size_new’ [-Wunused-variable]
  251 |   auto c_size_new = cluster_size(new_index);
      |        ^~~~~~~~~~
slope/clusters.cpp: In function ‘Eigen::SparseMatrix<int> slope::patternMatrix(const Eigen::VectorXd&)’:
slope/clusters.cpp:340:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  340 |   for (int k = 0; k < clusters.size(); ++k) {
      |                   ~~^~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/cv.cpp -o slope/cv.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/utils.h:8,
                 from slope/folds.h:11,
                 from slope/cv.h:13,
                 from slope/cv.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/utils.h:9:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/diagnostics.h:80:45:   required from here
   80 |     theta.rowwise() -= theta_mean.transpose();
      |                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/diagnostics.h:93:43:   required from here
   93 |   theta.array() /= std::max(1.0, dual_norm);
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/diagnostics.h:95:27:   required from here
   95 |   double dual = loss->dual(theta, y, Eigen::VectorXd::Ones(n));
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:39:26:   required from here
   39 |     x_mod.rightCols(1) = ones;
      |                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/ols.h:51:49:   required from here
   51 |     coeffs = all_coefs.head(all_coefs.size() - 1);
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, -1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, -1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, -1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:91:35:   required from here
   91 |     temp.leftCols(x_mod.cols()) = x_mod;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/slope.h:414:56:   required from here
  414 |       beta0 = loss->link(y.colwise().mean()).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/slope.h:463:53:   required from here
  463 |     int alpha_max_ind = whichMax(gradient.cwiseAbs());
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<Eigen::Matrix<double, -1, 1>, -1, -1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/slope.h:652:40:   required from here
  652 |                     beta.reshaped(p, m).sparseView(),
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:900:32:   required from here
  900 |       working_residual = eta - z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:925:32:   required from here
  925 |       eta = working_residual + z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/cv.h:418:68:   required from here
  418 |     result.std_errors = stdDevs(scores).array() / std::sqrt(n_evals);
      |                                                                    ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double, 0, int>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::SparseMatrix<double, 0, int>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/folds.cpp -o slope/folds.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/utils.h:8,
                 from slope/folds.h:11,
                 from slope/folds.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/utils.h:9:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/kkt_check.cpp -o slope/kkt_check.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/kkt_check.h:9,
                 from slope/kkt_check.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/clusters.h:8,
                 from slope/math.h:8,
                 from slope/kkt_check.cpp:2:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/kkt_check.cpp:24:34:   required from here
   24 |   ArrayXd abs_gradient = gradient(indices).cwiseAbs();
      |                          ~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/kkt_check.cpp:24:52:   required from here
   24 |   ArrayXd abs_gradient = gradient(indices).cwiseAbs();
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/kkt_check.cpp:28:44:   required from here
   28 |   ArrayXd diff = abs_gradient - lambda.head(indices.size());
      |                                 ~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/kkt_check.cpp:28:59:   required from here
   28 |   ArrayXd diff = abs_gradient - lambda.head(indices.size());
      |                                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LE>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/kkt_check.cpp:29:33:   required from here
   29 |   ArrayXb tmp = cumSum(diff) >= 0.0;
      |                                 ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/kkt_check.cpp:28:59:   required from here
   28 |   ArrayXd diff = abs_gradient - lambda.head(indices.size());
      |                                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/logger.cpp -o slope/logger.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/loss.cpp -o slope/losses/loss.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/loss.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/loss.cpp:13:16:   required from here
   13 |   z = eta.array() + (y.array() - inverseLink(eta).array()) / w.array();
      |       ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/loss.cpp:13:56:   required from here
   13 |   z = eta.array() + (y.array() - inverseLink(eta).array()) / w.array();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.cpp:13:57:   required from here
   13 |   z = eta.array() + (y.array() - inverseLink(eta).array()) / w.array();
      |                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.cpp:13:70:   required from here
   13 |   z = eta.array() + (y.array() - inverseLink(eta).array()) / w.array();
      |                                                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.cpp:13:70:   required from here
   13 |   z = eta.array() + (y.array() - inverseLink(eta).array()) / w.array();
      |                                                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.cpp:19:29:   required from here
   19 |   return inverseLink(eta) - y;
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/logistic.cpp -o slope/losses/logistic.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/logistic.h:8,
                 from slope/losses/logistic.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/losses/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/losses/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:11:14:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |     ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:11:20:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |     ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:11:28:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/losses/logistic.cpp:11:49:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |                                       ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:22:38:   required from here
   22 |   Eigen::VectorXd eta = link(theta + y);
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:31:39:   required from here
   31 |   return pr.array() * (1.0 - pr.array());
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:31:39:   required from here
   31 |   return pr.array() * (1.0 - pr.array());
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
slope/losses/logistic.cpp:31:40:   required from here
   31 |   return pr.array() * (1.0 - pr.array());
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:31:40:   required from here
   31 |   return pr.array() * (1.0 - pr.array());
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:38:44:   required from here
   38 |   Eigen::MatrixXd y_clamped = y.array().min(1.0).max(0.0);
      |                               ~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:38:44:   required from here
   38 |   Eigen::MatrixXd y_clamped = y.array().min(1.0).max(0.0);
      |                               ~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:38:53:   required from here
   38 |   Eigen::MatrixXd y_clamped = y.array().min(1.0).max(0.0);
      |                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:41:23:   required from here
   41 |   if ((y_clamped.array() != 0.0 && y_clamped.array() != 1.0).any()) {
      |        ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<slope::Logistic::link(const Eigen::MatrixXd&)::<lambda(const double&)>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<slope::Logistic::link(const Eigen::MatrixXd&)::<lambda(const double&)>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<slope::Logistic::link(const Eigen::MatrixXd&)::<lambda(const double&)>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<slope::Logistic::link(const Eigen::MatrixXd&)::<lambda(const double&)>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<slope::Logistic::link(const Eigen::MatrixXd&)::<lambda(const double&)>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:51:22:   required from here
   51 |   return mu.unaryExpr([](const double& x) {
      |          ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
   52 |     return logit(std::clamp(x, constants::P_MIN, constants::P_MAX));
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   53 |   });
      |   ~~                  
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:60:20:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                    ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:60:30:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                  ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:60:36:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                  ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:60:60:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:60:61:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:60:62:   required from here
   60 |     1.0 / (1.0 + (-eta).array().min(constants::MAX_EXP).exp());
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:62:16:   required from here
   62 |   return pr.max(constants::P_MIN).min(constants::P_MAX);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:62:16:   required from here
   62 |   return pr.max(constants::P_MIN).min(constants::P_MAX);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/logistic.cpp:62:38:   required from here
   62 |   return pr.max(constants::P_MIN).min(constants::P_MAX);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<slope::Logistic::predict(const Eigen::MatrixXd&)::<lambda(double)>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<slope::Logistic::predict(const Eigen::MatrixXd&)::<lambda(double)>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<slope::Logistic::predict(const Eigen::MatrixXd&)::<lambda(double)>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<slope::Logistic::predict(const Eigen::MatrixXd&)::<lambda(double)>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<slope::Logistic::predict(const Eigen::MatrixXd&)::<lambda(double)>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/logistic.cpp:69:24:   required from here
   69 |   return prob.unaryExpr([](double pr) { return pr > 0.5 ? 1.0 : 0.0; });
      |          ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; U = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; Derived = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/losses/logistic.cpp:11:55:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |                                       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/losses/logistic.cpp:24:45:   required from here
   24 |   return loss(eta, y) - theta.reshaped().dot(eta) / n;
      |                         ~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:312:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; U = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; Derived = Eigen::Reshaped<const Eigen::Matrix<double, -1, -1>, -1, 1, 0>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/losses/logistic.cpp:11:55:   required from here
   11 |     eta.array().exp().log1p().sum() - y.reshaped().dot(eta.reshaped());
      |                                       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:293:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  293 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/multinomial.cpp -o slope/losses/multinomial.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/multinomial.h:8,
                 from slope/losses/multinomial.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/losses/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/losses/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/losses/../clusters.h:8,
                 from slope/losses/../math.h:8,
                 from slope/losses/multinomial.cpp:3:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/losses/../utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/multinomial.cpp:19:18:   required from here
   19 |   out -= (y.array() * eta.array()).sum() / n;
      |           ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:19:33:   required from here
   19 |   out -= (y.array() * eta.array()).sum() / n;
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
slope/losses/multinomial.cpp:32:19:   required from here
   32 |   Eigen::ArrayXXd eta = link(theta + y);
      |                   ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:32:38:   required from here
   32 |   Eigen::ArrayXXd eta = link(theta + y);
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:36:61:   required from here
   36 |     logSumExp(eta).mean() - (eta * (y.array() + theta.array())).sum() / n;
      |                                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:36:62:   required from here
   36 |     logSumExp(eta).mean() - (eta * (y.array() + theta.array())).sum() / n;
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp: In member function ‘virtual double slope::Multinomial::dual(const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&)’:
slope/losses/multinomial.cpp:30:7: warning: unused variable ‘p’ [-Wunused-variable]
   30 |   int p = y.cols();
      |       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/losses/multinomial.cpp:56:35:   required from here
   56 |     result = Eigen::MatrixXd::Zero(n, m);
      |              ~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/multinomial.cpp:96:18:   required from here
   96 |   return pr.array() * (1.0 - pr.array());
      |          ~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:96:39:   required from here
   96 |   return pr.array() * (1.0 - pr.array());
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:96:39:   required from here
   96 |   return pr.array() * (1.0 - pr.array());
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/multinomial.cpp:96:40:   required from here
   96 |   return pr.array() * (1.0 - pr.array());
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/multinomial.cpp:105:28:   required from here
  105 |     double row_sum = mu.row(i).sum();
      |                      ~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/losses/multinomial.cpp:138:31:   required from here
  138 |     double sum_prob = prob.row(i).sum();
      |                       ~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp:105:35:   required from here
  105 |     double row_sum = mu.row(i).sum();
      |                      ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp:138:38:   required from here
  138 |     double sum_prob = prob.row(i).sum();
      |                       ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp:14:35:   required from here
   14 |   double out = logSumExp(eta).mean();
      |                ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp:19:39:   required from here
   19 |   out -= (y.array() * eta.array()).sum() / n;
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/multinomial.cpp:36:68:   required from here
   36 |     logSumExp(eta).mean() - (eta * (y.array() + theta.array())).sum() / n;
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/losses/multinomial.cpp:50:31:   required from here
   50 |     int m = y.array().maxCoeff(); // Assuming classes are 0-based
      |             ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/poisson.cpp -o slope/losses/poisson.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/poisson.h:11,
                 from slope/losses/poisson.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/losses/poisson.cpp:9:20:   required from here
    9 |   return (eta.array().exp() - y.array() * eta.array()).mean();
      |           ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/poisson.cpp:9:26:   required from here
    9 |   return (eta.array().exp() - y.array() * eta.array()).mean();
      |           ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:9:53:   required from here
    9 |   return (eta.array().exp() - y.array() * eta.array()).mean();
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:9:53:   required from here
    9 |   return (eta.array().exp() - y.array() * eta.array()).mean();
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/losses/poisson.cpp:17:24:   required from here
   17 |   const Eigen::ArrayXd e = theta + y;
      |                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:17:36:   required from here
   17 |   const Eigen::ArrayXd e = theta + y;
      |                                    ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:21:27:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                      ~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:21:27:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                      ~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/poisson.cpp:21:49:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:21:50:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:21:50:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:21:51:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:33:20:   required from here
   33 |   if ((y.array() < 0).any()) {
      |                    ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/poisson.cpp:55:24:   required from here
   55 |   return mu.array().max(constants::P_MIN).log();
      |          ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/losses/poisson.cpp:55:46:   required from here
   55 |   return mu.array().max(constants::P_MIN).log();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:178:1:   required from ‘const Eigen::ArrayBase<Derived>::CmpLTReturnType Eigen::ArrayBase<Derived>::operator<(const Scalar&) const [with Derived = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >; CmpLTReturnType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >; Scalar = double]’
  145 |   return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
slope/losses/poisson.cpp:33:20:   required from here
   33 |   if ((y.array() < 0).any()) {
      |                    ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/poisson.cpp:9:60:   required from here
    9 |   return (eta.array().exp() - y.array() * eta.array()).mean();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/poisson.cpp:21:58:   required from here
   21 |   return (e * (1.0 - e.max(constants::P_MIN).log())).mean();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/poisson.cpp:46:30:   required from here
   46 |   double grad = residual.mean();
      |                 ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/poisson.cpp:47:39:   required from here
   47 |   double hess = eta.array().exp().mean();
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/quadratic.cpp -o slope/losses/quadratic.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/quadratic.h:12,
                 from slope/losses/quadratic.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/quadratic.cpp:8:17:   required from here
    8 |   return (eta - y).squaredNorm() / (2.0 * y.rows());
      |                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/quadratic.cpp:18:38:   required from here
   18 |   return (y.squaredNorm() - (theta + y).squaredNorm()) / (2.0 * n);
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/losses/quadratic.cpp:24:31:   required from here
   24 |   return Eigen::MatrixXd::Ones(eta.rows(), eta.cols());
      |          ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:8:31:   required from here
    8 |   return (eta - y).squaredNorm() / (2.0 * y.rows());
      |          ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:18:24:   required from here
   18 |   return (y.squaredNorm() - (theta + y).squaredNorm()) / (2.0 * n);
      |           ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:18:52:   required from here
   18 |   return (y.squaredNorm() - (theta + y).squaredNorm()) / (2.0 * n);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:8:31:   required from here
    8 |   return (eta - y).squaredNorm() / (2.0 * y.rows());
      |          ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:18:24:   required from here
   18 |   return (y.squaredNorm() - (theta + y).squaredNorm()) / (2.0 * n);
      |           ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/losses/quadratic.cpp:18:52:   required from here
   18 |   return (y.squaredNorm() - (theta + y).squaredNorm()) / (2.0 * n);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/losses/setup_loss.cpp -o slope/losses/setup_loss.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/losses/setup_loss.h:8,
                 from slope/losses/setup_loss.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/math.cpp -o slope/math.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/math.h:8,
                 from slope/math.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.cpp:9:49:   required from here
    9 |   Eigen::ArrayXd max_vals = a.rowwise().maxCoeff();
      |                             ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:10:30:   required from here
   10 |   Eigen::ArrayXd sum_exp = (-max_vals).min(constants::MAX_EXP).exp() +
      |                              ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:10:43:   required from here
   10 |   Eigen::ArrayXd sum_exp = (-max_vals).min(constants::MAX_EXP).exp() +
      |                            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:10:43:   required from here
   10 |   Eigen::ArrayXd sum_exp = (-max_vals).min(constants::MAX_EXP).exp() +
      |                            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:10:67:   required from here
   10 |   Eigen::ArrayXd sum_exp = (-max_vals).min(constants::MAX_EXP).exp() +
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from ‘class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >’
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
slope/math.cpp:11:58:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                                           ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:11:59:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:11:59:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.cpp:12:36:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |                              .array()
      |                              ~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:13:34:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |                              .array()
      |                              ~~~~~~~~
   13 |                              .min(constants::MAX_EXP)
      |                              ~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:13:34:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |                              .array()
      |                              ~~~~~~~~
   13 |                              .min(constants::MAX_EXP)
      |                              ~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:14:34:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |                              .array()
      |                              ~~~~~~~~
   13 |                              .min(constants::MAX_EXP)
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~
   14 |                              .exp()
      |                              ~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
slope/math.cpp:16:34:   required from here
   11 |                            (a.colwise() - max_vals.matrix())
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |                              .array()
      |                              ~~~~~~~~
   13 |                              .min(constants::MAX_EXP)
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~
   14 |                              .exp()
      |                              ~~~~~~
   15 |                              .rowwise()
      |                              ~~~~~~~~~~
   16 |                              .sum();
      |                              ~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, -1>’
   45 | class Array
      |       ^~~~~
slope/math.cpp:16:35:   required from here
   16 |                              .sum();
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:16:35:   required from here
   16 |                              .sum();
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:18:32:   required from here
   18 |   return max_vals + sum_exp.max(constants::P_MIN).log();
      |                     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:18:54:   required from here
   18 |   return max_vals + sum_exp.max(constants::P_MIN).log();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:18:55:   required from here
   18 |   return max_vals + sum_exp.max(constants::P_MIN).log();
      |                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:24:40:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:24:40:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.cpp:25:11:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |     .array()
      |     ~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:26:9:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |     .array()
      |     ~~~~~~~~
   26 |     .min(constants::MAX_EXP)
      |     ~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:27:9:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |     .array()
      |     ~~~~~~~~
   26 |     .min(constants::MAX_EXP)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~
   27 |     .exp()
      |     ~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:28:9:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |     .array()
      |     ~~~~~~~~
   26 |     .min(constants::MAX_EXP)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~
   27 |     .exp()
      |     ~~~~~~
   28 |     .max(constants::P_MIN)
      |     ~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.cpp:29:9:   required from here
   24 |   return (eta.colwise() - logSumExp(eta))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |     .array()
      |     ~~~~~~~~
   26 |     .min(constants::MAX_EXP)
      |     ~~~~~~~~~~~~~~~~~~~~~~~~
   27 |     .exp()
      |     ~~~~~~
   28 |     .max(constants::P_MIN)
      |     ~~~~~~~~~~~~~~~~~~~~~~
   29 |     .min(constants::P_MAX);
      |     ~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/math.cpp:68:37:   required from here
   68 |     return Eigen::ArrayXd::LinSpaced(n, std::log(start), std::log(end)).exp();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/math.cpp:68:76:   required from here
   68 |     return Eigen::ArrayXd::LinSpaced(n, std::log(start), std::log(end)).exp();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:9:50:   required from here
    9 |   Eigen::ArrayXd max_vals = a.rowwise().maxCoeff();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from ‘PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_maxCoeff<double, double>; int Direction = 1; Eigen::Index = long int]’
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Array<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long int]’
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Array<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]’
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_maxCoeff<double, double>, 1>; Functor = assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:9:50:   required from here
    9 |   Eigen::ArrayXd max_vals = a.rowwise().maxCoeff();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:9:50:   required from here
    9 |   Eigen::ArrayXd max_vals = a.rowwise().maxCoeff();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false, false>’
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:16:35:   required from here
   16 |                              .sum();
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, 1, -1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:66:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::CwiseBinaryOp<scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, member_sum<double, double>, 1> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, const Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<double, double, 0>, const Eigen::ArrayWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:16:35:   required from here
   16 |                              .sum();
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1:   required from ‘ResultType Eigen::internal::member_maxCoeff<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, member_maxCoeff<double, double>, 1>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::Matrix<double, -1, -1>, Eigen::internal::member_maxCoeff<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/math.cpp:9:50:   required from here
    9 |   Eigen::ArrayXd max_vals = a.rowwise().maxCoeff();
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/normalize.cpp -o slope/normalize.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/math.h:8,
                 from slope/normalize.h:9,
                 from slope/normalize.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/normalize.cpp:18:31:   required from here
   18 |   Eigen::SparseMatrix<double> beta_out = beta;
      |                               ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseMatrix<double>]’
   77 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseMatrix<double>; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix<double>; Src = Eigen::SparseMatrix<double>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix<double>; Src = Eigen::SparseMatrix<double>]’
  917 |   call_assignment_no_alias(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Derived&) [with Derived = Eigen::SparseMatrix<double>]’
   45 |   internal::call_assignment_no_alias(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
  778 |           Base::operator=(other);
      |           ~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’
  713 |       *this = other.derived();
      |       ~~~~~~^~~~~~~~~~~~~~~~~
slope/normalize.cpp:18:42:   required from here
   18 |   Eigen::SparseMatrix<double> beta_out = beta;
      |                                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]’
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::SparseMatrix<double>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/usr/include/c++/14/tuple:210:4:   required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base(_UHead&&) [with _UHead = Eigen::SparseMatrix<double>&; long unsigned int _Idx = 1; _Head = Eigen::Matrix<double, -1, -1>]’
  210 |         : _M_head_impl(std::forward<_UHead>(__h)) { }
      |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/14/tuple:574:38:   required from ‘constexpr std::_Tuple_impl<_Idx, _Head>::_Tuple_impl(_UHead&&) [with _UHead = Eigen::SparseMatrix<double>&; long unsigned int _Idx = 1; _Head = Eigen::Matrix<double, -1, -1>]’
  574 |         : _Base(std::forward<_UHead>(__head))
      |                                             ^
/usr/include/c++/14/tuple:318:38:   required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl(_UHead&&, _UTail&& ...) [with _UHead = Eigen::Matrix<double, -1, -1>&; _UTail = {Eigen::SparseMatrix<double, 0, int>&}; <template-parameter-2-3> = void; long unsigned int _Idx = 0; _Head = Eigen::Matrix<double, -1, 1>; _Tail = {Eigen::Matrix<double, -1, -1, 0, -1, -1>}]’
  318 |           _Base(std::forward<_UHead>(__head))
      |                                             ^
/usr/include/c++/14/tuple:2121:63:   required from ‘constexpr std::tuple<_T1, _T2>::tuple(_U1&&, _U2&&) [with _U1 = Eigen::Matrix<double, -1, -1>&; _U2 = Eigen::SparseMatrix<double>&; typename std::enable_if<std::_TupleConstraints<(! __is_alloc_arg<_U1>()), _T1, _T2>::__is_implicitly_constructible<_U1, _U2>(), bool>::type <anonymous> = true; _T1 = Eigen::Matrix<double, -1, 1>; _T2 = Eigen::Matrix<double, -1, -1>]’
 2121 |         : _Inherited(std::forward<_U1>(__a1), std::forward<_U2>(__a2))
      |                                                                      ^
slope/normalize.cpp:42:32:   required from here
   42 |   return { beta0_out, beta_out };
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/qnorm.cpp -o slope/qnorm.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/regularization_sequence.cpp -o slope/regularization_sequence.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/regularization_sequence.h:8,
                 from slope/regularization_sequence.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/regularization_sequence.cpp:59:62:   required from here
   59 |     lambda = theta1 + theta2 * (p - Eigen::ArrayXd::LinSpaced(p, 1, p));
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/regularization_sequence.cpp:59:70:   required from here
   59 |     lambda = theta1 + theta2 * (p - Eigen::ArrayXd::LinSpaced(p, 1, p));
      |                                                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/regularization_sequence.cpp:59:70:   required from here
   59 |     lambda = theta1 + theta2 * (p - Eigen::ArrayXd::LinSpaced(p, 1, p));
      |                                                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/regularization_sequence.cpp:59:71:   required from here
   59 |     lambda = theta1 + theta2 * (p - Eigen::ArrayXd::LinSpaced(p, 1, p));
      |                                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/regularization_sequence.cpp:59:71:   required from here
   59 |     lambda = theta1 + theta2 * (p - Eigen::ArrayXd::LinSpaced(p, 1, p));
      |                                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Array<double, -1, 1>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10:   required from ‘Derived& Eigen::DenseBase<Derived>::setOnes() [with Derived = Eigen::Array<double, -1, 1>]’
  700 |   return setConstant(Scalar(1));
      |          ^~~~~~~~~~~
slope/regularization_sequence.cpp:61:19:   required from here
   61 |     lambda.setOnes();
      |     ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_min_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<double, double, 0>; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  433 |   return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |       return minCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/regularization_sequence.cpp:79:26:   required from here
   79 |     if (alpha_in.minCoeff() < 0) {
      |         ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/score.cpp -o slope/score.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/losses/loss.h:9,
                 from slope/score.h:8,
                 from slope/score.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/score.cpp:75:46:   required from here
   75 |     Eigen::VectorXd class_scores = scores.col(c);
      |                                    ~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/score.cpp:79:58:   required from here
   79 |     Eigen::VectorXd binary_labels = Eigen::VectorXd::Zero(n);
      |                                     ~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/score.cpp:131:15:   required from here
  131 |   return (y - eta).squaredNorm() / y.rows();
      |               ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/score.cpp:139:28:   required from here
  139 |   return (y - eta).cwiseAbs().mean();
      |          ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/score.cpp:150:45:   required from here
  150 |   Eigen::MatrixXd comparison = (y_pred.array() == y.array()).cast<double>();
      |                                 ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/score.cpp:150:58:   required from here
  150 |   Eigen::MatrixXd comparison = (y_pred.array() == y.array()).cast<double>();
      |                                                   ~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   required from ‘struct Eigen::internal::cast_return_type<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<bool, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >’
  513 |   typedef typename _CastType::Scalar NewScalarType;
      |                                      ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179:   required from ‘struct Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >::CastXpr<double>’
   48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
      |                                                                                                                                                                                   ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >::cast() const [with NewType = double]’
   62 | cast() const
      | ^~~~
slope/score.cpp:150:74:   required from here
  150 |   Eigen::MatrixXd comparison = (y_pred.array() == y.array()).cast<double>();
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
slope/score.cpp:131:31:   required from here
  131 |   return (y - eta).squaredNorm() / y.rows();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/score.cpp:23:29:   required from here
   23 |   int pos_count = labels.sum();
      |                   ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/score.cpp:139:35:   required from here
  139 |   return (y - eta).cwiseAbs().mean();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, -1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/score.cpp:151:24:   required from here
  151 |   return comparison.sum() / y.rows();
      |          ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/score.cpp:131:31:   required from here
  131 |   return (y - eta).squaredNorm() / y.rows();
      |          ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
slope/score.cpp:75:48:   required from here
   75 |     Eigen::VectorXd class_scores = scores.col(c);
      |                                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/screening.cpp -o slope/screening.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/screening.h:12,
                 from slope/screening.cpp:6:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/screening.cpp:21:30:   required from here
   21 |   ArrayXb active = beta.array() != 0.0;
      |                    ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/screening.cpp:21:36:   required from here
   21 |   ArrayXb active = beta.array() != 0.0;
      |                                    ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<const Eigen::Matrix<double, -1, 1>, -1, 1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/screening.cpp:41:51:   required from here
   41 |   const VectorXd abs_grad = gradient_prev.reshaped().cwiseAbs();
      |                             ~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/screening.cpp:41:62:   required from here
   41 |   const VectorXd abs_grad = gradient_prev.reshaped().cwiseAbs();
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/screening.cpp:47:13:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |     ~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/screening.cpp:47:24:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |     ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/screening.cpp:47:36:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |                                    ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/screening.cpp:47:56:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |                                                        ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/screening.cpp:47:56:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |                                                        ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/screening.cpp:47:56:   required from here
   47 |     abs_grad(ord).array().eval() + lambda_prev - 2.0 * lambda;
      |                                                        ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/screening.cpp:184:59:   required from here
  184 |   return setUnion(active_set, { whichMax(gradient.cwiseAbs()) });
      |                                          ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/screening.cpp:207:39:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
slope/screening.cpp:207:42:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                                        ~~^~~~
slope/screening.cpp:297:32:   required from here
  297 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  298 |                                 beta,
      |                                 ~~~~~
  299 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  300 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  301 |                                 x,
      |                                 ~~
  302 |                                 residual,
      |                                 ~~~~~~~~~
  303 |                                 x_centers,
      |                                 ~~~~~~~~~~
  304 |                                 x_scales,
      |                                 ~~~~~~~~~
  305 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  306 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:207:42:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                                        ~~^~~~
slope/screening.cpp:322:32:   required from here
  322 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  323 |                                 beta,
      |                                 ~~~~~
  324 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  325 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  326 |                                 x,
      |                                 ~~
  327 |                                 residual,
      |                                 ~~~~~~~~~
  328 |                                 x_centers,
      |                                 ~~~~~~~~~~
  329 |                                 x_scales,
      |                                 ~~~~~~~~~
  330 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  331 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  306 | class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:273:32:   required from here
  273 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  274 |                                 beta,
      |                                 ~~~~~
  275 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  276 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  277 |                                 x,
      |                                 ~~
  278 |                                 residual,
      |                                 ~~~~~~~~~
  279 |                                 x_centers,
      |                                 ~~~~~~~~~~
  280 |                                 x_scales,
      |                                 ~~~~~~~~~
  281 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  282 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:297:32:   required from here
  297 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  298 |                                 beta,
      |                                 ~~~~~
  299 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  300 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  301 |                                 x,
      |                                 ~~
  302 |                                 residual,
      |                                 ~~~~~~~~~
  303 |                                 x_centers,
      |                                 ~~~~~~~~~~
  304 |                                 x_scales,
      |                                 ~~~~~~~~~
  305 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  306 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true, Eigen::Sparse>’
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:269:17:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~^~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:322:32:   required from here
  322 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  323 |                                 beta,
      |                                 ~~~~~
  324 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  325 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  326 |                                 x,
      |                                 ~~
  327 |                                 residual,
      |                                 ~~~~~~~~~
  328 |                                 x_centers,
      |                                 ~~~~~~~~~~
  329 |                                 x_scales,
      |                                 ~~~~~~~~~
  330 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  331 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  558 | struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:273:32:   required from here
  273 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  274 |                                 beta,
      |                                 ~~~~~
  275 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  276 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  277 |                                 x,
      |                                 ~~
  278 |                                 residual,
      |                                 ~~~~~~~~~
  279 |                                 x_centers,
      |                                 ~~~~~~~~~~
  280 |                                 x_scales,
      |                                 ~~~~~~~~~
  281 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  282 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:273:32:   required from here
  273 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  274 |                                 beta,
      |                                 ~~~~~
  275 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  276 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  277 |                                 x,
      |                                 ~~
  278 |                                 residual,
      |                                 ~~~~~~~~~
  279 |                                 x_centers,
      |                                 ~~~~~~~~~~
  280 |                                 x_scales,
      |                                 ~~~~~~~~~
  281 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  282 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:273:32:   required from here
  273 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  274 |                                 beta,
      |                                 ~~~~~
  275 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  276 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  277 |                                 x,
      |                                 ~~
  278 |                                 residual,
      |                                 ~~~~~~~~~
  279 |                                 x_centers,
      |                                 ~~~~~~~~~~
  280 |                                 x_scales,
      |                                 ~~~~~~~~~
  281 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  282 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double> > >’
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:322:32:   required from here
  322 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  323 |                                 beta,
      |                                 ~~~~~
  324 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  325 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  326 |                                 x,
      |                                 ~~
  327 |                                 residual,
      |                                 ~~~~~~~~~
  328 |                                 x_centers,
      |                                 ~~~~~~~~~~
  329 |                                 x_scales,
      |                                 ~~~~~~~~~
  330 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  331 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:322:32:   required from here
  322 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  323 |                                 beta,
      |                                 ~~~~~
  324 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  325 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  326 |                                 x,
      |                                 ~~
  327 |                                 residual,
      |                                 ~~~~~~~~~
  328 |                                 x_centers,
      |                                 ~~~~~~~~~~
  329 |                                 x_scales,
      |                                 ~~~~~~~~~
  330 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  331 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:297:32:   required from here
  297 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  298 |                                 beta,
      |                                 ~~~~~
  299 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  300 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  301 |                                 x,
      |                                 ~~
  302 |                                 residual,
      |                                 ~~~~~~~~~
  303 |                                 x_centers,
      |                                 ~~~~~~~~~~
  304 |                                 x_scales,
      |                                 ~~~~~~~~~
  305 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  306 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:312:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >, Eigen::internal::IndexBased, double>’
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; Derived = Eigen::Matrix<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Reshaped<const Eigen::Matrix<double, -1, 1>, -1, 1, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
  423 |       : Base(other.derived())
      |                             ^
slope/screening.cpp:41:63:   required from here
   41 |   const VectorXd abs_grad = gradient_prev.reshaped().cwiseAbs();
      |                                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:293:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  293 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/math.h:256:46:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  256 |     wr_sums(k) = weighted_residual.col(k).sum();
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:297:32:   required from here
  297 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  298 |                                 beta,
      |                                 ~~~~~
  299 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  300 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  301 |                                 x,
      |                                 ~~
  302 |                                 residual,
      |                                 ~~~~~~~~~
  303 |                                 x_centers,
      |                                 ~~~~~~~~~~
  304 |                                 x_scales,
      |                                 ~~~~~~~~~
  305 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  306 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:249:32:   required from here
  249 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  250 |                                 beta,
      |                                 ~~~~~
  251 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  252 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  253 |                                 x,
      |                                 ~~
  254 |                                 residual,
      |                                 ~~~~~~~~~
  255 |                                 x_centers,
      |                                 ~~~~~~~~~~
  256 |                                 x_scales,
      |                                 ~~~~~~~~~
  257 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  258 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/math.h:269:24:   required from ‘void slope::updateGradient(Eigen::VectorXd&, const T&, const Eigen::MatrixXd&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  269 |           (x.col(j).dot(weighted_residual.col(k)) - x_centers(j) * wr_sums(k)) /
      |            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
slope/screening.cpp:201:17:   required from ‘bool slope::StrongScreening::checkKktViolationsImpl(Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::ArrayXd&, std::vector<int>&, const MatrixType&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, slope::JitNormalization, const std::vector<int>&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]’
  201 |   updateGradient(gradient,
      |   ~~~~~~~~~~~~~~^~~~~~~~~~
  202 |                  x,
      |                  ~~
  203 |                  residual,
      |                  ~~~~~~~~~
  204 |                  strong_set,
      |                  ~~~~~~~~~~~
  205 |                  x_centers,
      |                  ~~~~~~~~~~
  206 |                  x_scales,
      |                  ~~~~~~~~~
  207 |                  Eigen::VectorXd::Ones(x.rows()),
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  208 |                  jit_normalization);
      |                  ~~~~~~~~~~~~~~~~~~
slope/screening.cpp:297:32:   required from here
  297 |   return checkKktViolationsImpl(gradient,
      |          ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
  298 |                                 beta,
      |                                 ~~~~~
  299 |                                 lambda_curr,
      |                                 ~~~~~~~~~~~~
  300 |                                 working_set,
      |                                 ~~~~~~~~~~~~
  301 |                                 x,
      |                                 ~~
  302 |                                 residual,
      |                                 ~~~~~~~~~
  303 |                                 x_centers,
      |                                 ~~~~~~~~~~
  304 |                                 x_scales,
      |                                 ~~~~~~~~~
  305 |                                 jit_normalization,
      |                                 ~~~~~~~~~~~~~~~~~~
  306 |                                 full_set);
      |                                 ~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/slope.cpp -o slope/slope.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/clusters.h:8,
                 from slope/slope.h:8,
                 from slope/slope.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/diagnostics.h:80:45:   required from here
   80 |     theta.rowwise() -= theta_mean.transpose();
      |                                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/diagnostics.h:93:43:   required from here
   93 |   theta.array() /= std::max(1.0, dual_norm);
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/diagnostics.h:95:27:   required from here
   95 |   double dual = loss->dual(theta, y, Eigen::VectorXd::Ones(n));
      |                 ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, -1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:39:26:   required from here
   39 |     x_mod.rightCols(1) = ones;
      |                          ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/ols.h:51:49:   required from here
   51 |     coeffs = all_coefs.head(all_coefs.size() - 1);
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/ols.h:81:55:   required from here
   81 |     Eigen::VectorXd ones = Eigen::VectorXd::Ones(x_mod.rows());
      |                                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, -1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, -1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, -1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/ols.h:91:35:   required from here
   91 |     temp.leftCols(x_mod.cols()) = x_mod;
      |                                   ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/normalize.h:135:34:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                  ^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/normalize.h:135:38:   required from here
  135 |   if ((x_scales.array().abs() == 0.0).any()) {
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from ‘class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >’
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/slope.h:414:56:   required from here
  414 |       beta0 = loss->link(y.colwise().mean()).transpose();
      |                                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/slope.h:463:53:   required from here
  463 |     int alpha_max_ind = whichMax(gradient.cwiseAbs());
      |                                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/slope.h:540:38:   required from here
  540 |                         sl1_norm.eval(beta(working_set),
      |                         ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
  541 |                                       lambda_curr.head(working_set.size()));
      |                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:207:7:   required from ‘class Eigen::internal::ReshapedImpl_dense<Eigen::Matrix<double, -1, 1>, -1, -1, 0, true>’
  207 | class ReshapedImpl_dense<XprType, Rows, Cols, Order, true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:132:7:   required from ‘class Eigen::ReshapedImpl<Eigen::Matrix<double, -1, 1>, -1, -1, 0, Eigen::Dense>’
  132 | class ReshapedImpl<XprType, Rows, Cols, Order, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reshaped.h:96:65:   required from ‘class Eigen::Reshaped<Eigen::Matrix<double, -1, 1>, -1, -1, 0>’
   96 | template<typename XprType, int Rows, int Cols, int Order> class Reshaped
      |                                                                 ^~~~~~~~
slope/slope.h:652:40:   required from here
  652 |                     beta.reshaped(p, m).sparseView(),
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:900:32:   required from here
  900 |       working_residual = eta - z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:925:32:   required from here
  925 |       eta = working_residual + z;
      |                                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/slope.h:938:43:   required from here
  938 |       beta = (1 - gamma) * beta + gamma * old_coefs;
      |                                           ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45:   required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >]’
   79 |   const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::SparseMatrix<double>; SrcXprType = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Functor = Eigen::internal::assign_op<double, double>; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’
  132 |     assign_sparse_to_sparse(dst.derived(), src.derived());
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16:   required from ‘Derived& Eigen::SparseMatrixBase<Derived>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::SparseMatrix<double>]’
   37 |   internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   38 |           ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |           ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1239 |     return Base::operator=(other.derived());
      |            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15:   required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseView<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
  689 |         *this = other.derived();
      |         ~~~~~~^~~~~~~~~~~~~~~~~
slope/slope_fit.h:142:33:   required from here
  142 |       return beta_out.sparseView();
      |              ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/solvers/hybrid.cpp -o slope/solvers/hybrid.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/solvers/../clusters.h:8,
                 from slope/solvers/hybrid.h:9,
                 from slope/solvers/hybrid.cpp:6:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/solvers/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:220:30:   required from here
  220 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/solvers/pgd.h:143:65:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:142:21:   required from here
  142 |         penalty.prox(beta_old - this->learning_rate * grad_working,
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |                      this->learning_rate * lambda.head(n_working));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/pgd.h:143:66:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:145:39:   required from here
  145 |       beta_diff = beta(working_set) - beta_old;
      |                                       ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:63:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid.h:225:22:   required from here
  225 |     eta = residual + z;
      |                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/hybrid.h:237:28:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |              ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid.h:237:37:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid.h:237:50:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/hybrid.h:238:24:   required from here
  238 |       penalty.eval(beta(working_set), lambda.head(working_set.size()));
      |                    ~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double, 0, int> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:157:19:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  157 |     pgd_solver.run(beta0,
      |     ~~~~~~~~~~~~~~^~~~~~~
  158 |                    beta,
      |                    ~~~~~
  159 |                    eta,
      |                    ~~~~
  160 |                    lambda,
      |                    ~~~~~~~
  161 |                    loss,
      |                    ~~~~~
  162 |                    penalty,
      |                    ~~~~~~~~
  163 |                    gradient_in,
      |                    ~~~~~~~~~~~~
  164 |                    working_set,
      |                    ~~~~~~~~~~~~
  165 |                    x,
      |                    ~~
  166 |                    x_centers,
      |                    ~~~~~~~~~~
  167 |                    x_scales,
      |                    ~~~~~~~~~
  168 |                    y);
      |                    ~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
slope/solvers/hybrid.h:157:19:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  157 |     pgd_solver.run(beta0,
      |     ~~~~~~~~~~~~~~^~~~~~~
  158 |                    beta,
      |                    ~~~~~
  159 |                    eta,
      |                    ~~~~
  160 |                    lambda,
      |                    ~~~~~~~
  161 |                    loss,
      |                    ~~~~~
  162 |                    penalty,
      |                    ~~~~~~~~
  163 |                    gradient_in,
      |                    ~~~~~~~~~~~~
  164 |                    working_set,
      |                    ~~~~~~~~~~~~
  165 |                    x,
      |                    ~~
  166 |                    x_centers,
      |                    ~~~~~~~~~~
  167 |                    x_scales,
      |                    ~~~~~~~~~
  168 |                    y);
      |                    ~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/solvers/hybrid.h:173:32:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  173 |     MatrixXd w = MatrixXd::Ones(n, m);
      |                  ~~~~~~~~~~~~~~^~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid.h:178:29:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  178 |     MatrixXd residual = eta - z;
      |                         ~~~~^~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from slope/solvers/hybrid.h:12:
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:440:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double, 0, int>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
  306 | class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:440:37:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~^~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:440:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:440:37:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~^~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:440:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:356:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  356 |   for (int i = 0; i < clusters.size(); ++i) {
      |                   ~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:368:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare]
  368 |     if (c_ind >= clusters.size()) {
      |         ~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, Eigen::Sparse>’
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:440:37:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~^~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:440:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |                                ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h: In instantiation of ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’:
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
slope/solvers/hybrid_cd.h:349:13: warning: unused variable ‘m’ [-Wunused-variable]
  349 |   const int m = residual.cols();
      |             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:441:37:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  441 |             residual.col(k).array() +=
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
  442 |               x_centers(j) * s_ind * c_diff / x_scales(j);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:274:62:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  274 |     Eigen::VectorXd weighted_residual = w.col(k).cwiseProduct(residual.col(k));
      |                                         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:40:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:28:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~^~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:237:56:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:470:48:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  470 |       double beta0_update = residual.col(k).dot(w.col(k)) / n;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  558 | struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double, 0, int> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
  565 |   typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
      |                                                     ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
  352 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IndexBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  549 | struct unary_evaluator<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:280:44:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:27:47:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >, Eigen::internal::IteratorBased, double>’
   27 |       CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                               ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:280:44:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53:   required from ‘struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
  565 |   typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
      |                                                     ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’
  352 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IndexBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double, 0, int> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           working_set,
      |           ~~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:67:26:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   67 |                   w_v.dot(residual_v) * x_centers(j)) /
      |                   ~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:39:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:50:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 1, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]’
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:267:22:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  267 |   x_s.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:34:49:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::SparseMatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
   34 |     res += numext::conj(i.value()) * other.coeff(i.index());
      |                                      ~~~~~~~~~~~^~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:44:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/solvers/hybrid.h:238:19:   required from here
  238 |       penalty.eval(beta(working_set), lambda.head(working_set.size()));
      |       ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:470:48:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  470 |       double beta0_update = residual.col(k).dot(w.col(k)) / n;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]’
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:267:22:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  267 |   x_s.setFromTriplets(triplets.begin(), triplets.end());
      |   ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:71:45:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   71 |          std::pow(x_centers(j), 2) * w_v.sum()) /
      |                                      ~~~~~~~^~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:282:55:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::SparseMatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  282 |                  std::pow(offset(k), 2) * w.col(k).sum()) /
      |                                           ~~~~~~~~~~~~^~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:470:48:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  470 |       double beta0_update = residual.col(k).dot(w.col(k)) / n;
      |                             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:154:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  154 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:440:29:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  440 |             residual.col(k) -= x.col(j) * (s_ind * c_diff / x_scales(j));
      |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double, 0, int>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           working_set,
      |           ~~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:67:26:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   67 |                   w_v.dot(residual_v) * x_centers(j)) /
      |                   ~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:39:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:50:   required from ‘std::pair<double, double> slope::computeClusterGradientAndHessian(const Eigen::MatrixBase<Derived>&, int, const std::vector<int>&, const Clusters&, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:402:41:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  402 |         computeClusterGradientAndHessian(x,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
  403 |                                          c_ind,
      |                                          ~~~~~~
  404 |                                          s,
      |                                          ~~
  405 |                                          clusters,
      |                                          ~~~~~~~~~
  406 |                                          w,
      |                                          ~~
  407 |                                          residual,
      |                                          ~~~~~~~~~
  408 |                                          x_centers,
      |                                          ~~~~~~~~~~
  409 |                                          x_scales,
      |                                          ~~~~~~~~~
  410 |                                          jit_normalization);
      |                                          ~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           working_set,
      |           ~~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:66:49:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   66 |                  (x.col(j).cwiseProduct(w_v).dot(residual_v) -
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:34:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:70:73:   required from ‘std::pair<double, double> slope::computeGradientAndHessian(const T&, int, const Eigen::MatrixXd&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, double, JitNormalization, int) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
   70 |         (x.col(j).cwiseAbs2().dot(w_v) - 2 * x_centers(j) * x.col(j).dot(w_v) +
      |                                                             ~~~~~~~~~~~~^~~~~
slope/solvers/hybrid_cd.h:398:55:   required from ‘double slope::coordinateDescent(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, Clusters&, const Eigen::ArrayXd&, const T&, const Eigen::MatrixXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, bool, JitNormalization, bool, std::mt19937&, const std::string&) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; std::mt19937 = std::mersenne_twister_engine<long unsigned int, 32, 624, 397, 31, 2567483615, 11, 4294967295, 7, 2636928640, 15, 4022730752, 18, 1812433253>; std::string = std::__cxx11::basic_string<char>]’
  398 |       std::tie(grad, hess) = computeGradientAndHessian(
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~^
  399 |         x, ind, w, residual, x_centers, x_scales, s[0], jit_normalization, n);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:194:24:   required from ‘void slope::Hybrid::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  194 |       coordinateDescent(beta0,
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
  195 |                         beta,
      |                         ~~~~~
  196 |                         residual,
      |                         ~~~~~~~~~
  197 |                         clusters,
      |                         ~~~~~~~~~
  198 |                         lambda_cumsum,
      |                         ~~~~~~~~~~~~~~
  199 |                         x,
      |                         ~~
  200 |                         w,
      |                         ~~
  201 |                         x_centers,
      |                         ~~~~~~~~~~
  202 |                         x_scales,
      |                         ~~~~~~~~~
  203 |                         this->intercept,
      |                         ~~~~~~~~~~~~~~~~
  204 |                         this->jit_normalization,
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~
  205 |                         this->update_clusters,
      |                         ~~~~~~~~~~~~~~~~~~~~~~
  206 |                         rng,
      |                         ~~~~
  207 |                         this->cd_type);
      |                         ~~~~~~~~~~~~~~
slope/solvers/hybrid.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           working_set,
      |           ~~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/solvers/hybrid_cd.cpp -o slope/solvers/hybrid_cd.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/solvers/../clusters.h:8,
                 from slope/solvers/hybrid_cd.h:9,
                 from slope/solvers/hybrid_cd.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/solvers/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:220:30:   required from here
  220 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/solvers/pgd.cpp -o slope/solvers/pgd.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/solvers/../losses/loss.h:9,
                 from slope/solvers/pgd.h:8,
                 from slope/solvers/pgd.cpp:6:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/solvers/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/solvers/pgd.h:143:65:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:142:21:   required from here
  142 |         penalty.prox(beta_old - this->learning_rate * grad_working,
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |                      this->learning_rate * lambda.head(n_working));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:142:21:   required from here
  142 |         penalty.prox(beta_old - this->learning_rate * grad_working,
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |                      this->learning_rate * lambda.head(n_working));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/pgd.h:143:66:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:145:39:   required from here
  145 |       beta_diff = beta(working_set) - beta_old;
      |                                       ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:63:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/pgd.h:131:44:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  131 |     Eigen::VectorXd grad_working = gradient(working_set);
      |                                    ~~~~~~~~^~~~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:151:44:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  151 |         Eigen::VectorXd beta0_diff = beta0 - beta0_old;
      |                                      ~~~~~~^~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/solvers/../clusters.h:8,
                 from slope/solvers/../math.h:8,
                 from slope/solvers/pgd.h:9:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from ‘class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >’
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           active_set,
      |           ~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from ‘class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double> >, 1>’
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from ‘class Eigen::Map<Eigen::SparseMatrix<double> >’
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
slope/solvers/pgd.h:148:66:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  148 |         (1.0 / (2 * this->learning_rate)) * beta_diff.squaredNorm();
      |                                             ~~~~~~~~~~~~~~~~~~~~~^~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
slope/solvers/../math.h:163:46:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  163 |   Eigen::MatrixXd eta = Eigen::MatrixXd::Zero(n, m);
      |                         ~~~~~~~~~~~~~~~~~~~~~^~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<const Eigen::SparseMatrix<double>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7:   required from ‘class Eigen::BlockImpl<const Eigen::SparseMatrix<double>, -1, 1, true, Eigen::Sparse>’
  306 | class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:181:36:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~^~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:181:36:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~^~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           active_set,
      |           ~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           active_set,
      |           ~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           active_set,
      |           ~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from ‘class Eigen::BlockImpl<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true, Eigen::Sparse>’
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:181:36:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~^~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Sparse>’
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:181:52:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/pgd.h:147:22:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  147 |         beta_diff.dot(grad_working) +
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67:   required from ‘Derived& Eigen::ArrayBase<Derived>::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
   34 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
slope/solvers/../math.h:182:36:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from ‘class Eigen::Replicate<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, -1, 1>’
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from ‘ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 1]’
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
slope/solvers/../math.h:209:19:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  209 |     eta.rowwise() += beta0.transpose();
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  558 | struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::SparseMatrix<double>, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1034 | struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase<Derived>::operator*(const T&) const [with T = double; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
 1348 |   CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
      |   ^
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double> > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseMatrix<double> >’
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::SparseMatrix<double> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase<Derived>::operator*(const T&) const [with T = double; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
 1348 |   CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
      |   ^
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase<Derived>::operator*(const T&) const [with T = double; Derived = Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
 1348 |   CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
      |   ^
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::SparseMatrix<double> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from ‘struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double> > > >’
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8:   required from ‘struct Eigen::internal::evaluator<Eigen::Map<Eigen::SparseMatrix<double> > >’
  282 | struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Map<Eigen::SparseMatrix<double> > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from ‘struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from ‘struct Eigen::internal::block_evaluator<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true, false>’
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase<Derived>::operator*(const T&) const [with T = double; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
 1348 |   CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
      |   ^
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7:   required from ‘Eigen::CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Eigen::Sparse>::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49:   required from ‘Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; LhsType = const Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; RhsType = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1:   required from ‘const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase<Derived>::operator*(const T&) const [with T = double; Derived = Eigen::Block<const Eigen::Map<Eigen::SparseMatrix<double> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::plain_constant_type<Derived, typename Eigen::internal::promote_scalar_arg<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, T, Eigen::internal::scalar_product_op<typename Eigen::internal::traits<T>::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >]’
 1348 |   CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
      |   ^
slope/solvers/../math.h:181:40:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |                               ~~~~~~~~~^~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::SparseMatrix<double> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:115:10:   required from here
  115 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
  116 |           beta,
      |           ~~~~~
  117 |           eta,
      |           ~~~~
  118 |           lambda,
      |           ~~~~~~~
  119 |           loss,
      |           ~~~~~
  120 |           penalty,
      |           ~~~~~~~~
  121 |           gradient,
      |           ~~~~~~~~~
  122 |           active_set,
      |           ~~~~~~~~~~~
  123 |           x,
      |           ~~
  124 |           x_centers,
      |           ~~~~~~~~~~
  125 |           x_scales,
      |           ~~~~~~~~~
  126 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46:   required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]’
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/solvers/pgd.h:148:66:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  148 |         (1.0 / (2 * this->learning_rate)) * beta_diff.squaredNorm();
      |                                             ~~~~~~~~~~~~~~~~~~~~~^~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:147:37:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Sparse2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]’
  147 |     internal::evaluator<DstXprType> dstEval(dst);
      |                                     ^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../math.h:181:28:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/solvers/pgd.h:142:21:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  142 |         penalty.prox(beta_old - this->learning_rate * grad_working,
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |                      this->learning_rate * lambda.head(n_working));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51:   required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false; ResScalar = double]’
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]’
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/pgd.h:147:22:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  147 |         beta_diff.dot(grad_working) +
      |         ~~~~~~~~~~~~~^~~~~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../math.h:181:28:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Matrix<double, -1, -1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:30:10:   required from here
   30 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   31 |           beta,
      |           ~~~~~
   32 |           eta,
      |           ~~~~
   33 |           lambda,
      |           ~~~~~~~
   34 |           loss,
      |           ~~~~~
   35 |           penalty,
      |           ~~~~~~~~
   36 |           gradient,
      |           ~~~~~~~~~
   37 |           active_set,
      |           ~~~~~~~~~~~
   38 |           x,
      |           ~~
   39 |           x_centers,
      |           ~~~~~~~~~~
   40 |           x_scales,
      |           ~~~~~~~~~
   41 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../math.h:181:28:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:87:10:   required from here
   87 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   88 |           beta,
      |           ~~~~~
   89 |           eta,
      |           ~~~~
   90 |           lambda,
      |           ~~~~~~~
   91 |           loss,
      |           ~~~~~
   92 |           penalty,
      |           ~~~~~~~~
   93 |           gradient,
      |           ~~~~~~~~~
   94 |           active_set,
      |           ~~~~~~~~~~~
   95 |           x,
      |           ~~
   96 |           x_centers,
      |           ~~~~~~~~~~
   97 |           x_scales,
      |           ~~~~~~~~~
   98 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]’
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::SparseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   required from ‘Derived& Eigen::DenseBase<Derived>::operator+=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::SparseMatrix<double>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]’
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../math.h:181:28:   required from ‘Eigen::MatrixXd slope::linearPredictor(const T&, const std::vector<int>&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::VectorXd&, JitNormalization, bool) [with T = Eigen::SparseMatrix<double>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]’
  181 |           eta_local.col(k) += x.col(j) * beta(ind) / x_scales(j);
      |           ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/pgd.h:158:28:   required from ‘void slope::PGD::runImpl(Eigen::VectorXd&, Eigen::VectorXd&, Eigen::MatrixXd&, const Eigen::ArrayXd&, const std::unique_ptr<slope::Loss>&, const slope::SortedL1Norm&, const Eigen::VectorXd&, const std::vector<int>&, const MatrixType&, const Eigen::VectorXd&, const Eigen::VectorXd&, const Eigen::MatrixXd&) [with MatrixType = Eigen::SparseMatrix<double>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]’
  158 |       eta = linearPredictor(x,
      |             ~~~~~~~~~~~~~~~^~~
  159 |                             working_set,
      |                             ~~~~~~~~~~~~
  160 |                             beta0,
      |                             ~~~~~~
  161 |                             beta,
      |                             ~~~~~
  162 |                             x_centers,
      |                             ~~~~~~~~~~
  163 |                             x_scales,
      |                             ~~~~~~~~~
  164 |                             jit_normalization,
      |                             ~~~~~~~~~~~~~~~~~~
  165 |                             intercept);
      |                             ~~~~~~~~~~
slope/solvers/pgd.cpp:59:10:   required from here
   59 |   runImpl(beta0,
      |   ~~~~~~~^~~~~~~
   60 |           beta,
      |           ~~~~~
   61 |           eta,
      |           ~~~~
   62 |           lambda,
      |           ~~~~~~~
   63 |           loss,
      |           ~~~~~
   64 |           penalty,
      |           ~~~~~~~~
   65 |           gradient,
      |           ~~~~~~~~~
   66 |           active_set,
      |           ~~~~~~~~~~~
   67 |           x,
      |           ~~
   68 |           x_centers,
      |           ~~~~~~~~~~
   69 |           x_scales,
      |           ~~~~~~~~~
   70 |           y);
      |           ~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/solvers/setup_solver.cpp -o slope/solvers/setup_solver.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/solvers/../clusters.h:8,
                 from slope/solvers/hybrid.h:9,
                 from slope/solvers/setup_solver.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:119:21:   required from here
  119 |     Eigen::MatrixXd residual = this->residual(eta, y);
      |                     ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>’
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:37:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/solvers/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:175:35:   required from here
  175 |     hess += x_s.col(k).cwiseAbs2().dot(w.col(k)) / n;
      |                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:176:46:   required from here
  176 |     grad += x_s.col(k).cwiseProduct(w.col(k)).dot(residual.col(k)) / n;
      |                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:220:30:   required from here
  220 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7:   required from ‘class Eigen::internal::sparse_matrix_block_impl<Eigen::SparseMatrix<double, 0, int>, -1, 1>’
   96 | class sparse_matrix_block_impl
      |       ^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7:   required from ‘class Eigen::BlockImpl<Eigen::SparseMatrix<double, 0, int>, -1, 1, true, Eigen::Sparse>’
  287 | class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/hybrid_cd.h:280:28:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> > >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true>, Eigen::Sparse>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::SparseMatrix<double, 0, int>, -1, 1, true> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid_cd.h:280:40:   required from here
  280 |         hess += (x_s.col(k).cwiseAbs2().dot(w.col(k)) -
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid_cd.h:419:65:   required from here
  419 |       c_old - grad / hess, c_ind, lambda_cumsum / hess, clusters);
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:138:51:   required from here
  138 |         beta0 = beta0_old - this->learning_rate * intercept_grad;
      |                                                   ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, 1>, -1, 1, false, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from ‘class Eigen::VectorBlock<const Eigen::Array<double, -1, 1>, -1>’
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
slope/solvers/pgd.h:143:65:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:142:21:   required from here
  142 |         penalty.prox(beta_old - this->learning_rate * grad_working,
      |         ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  143 |                      this->learning_rate * lambda.head(n_working));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/pgd.h:143:66:   required from here
  143 |                      this->learning_rate * lambda.head(n_working));
      |                                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:145:39:   required from here
  145 |       beta_diff = beta(working_set) - beta_old;
      |                                       ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:63:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::IndexedView<Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/pgd.h:192:73:   required from here
  192 |         (beta_current - beta_prev(working_set)) * (t_old - 1.0) / this->t;
      |                                                                         ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid.h:225:22:   required from here
  225 |     eta = residual + z;
      |                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/hybrid.h:237:28:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |              ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/solvers/hybrid.h:237:37:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/hybrid.h:237:50:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |                                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:153:7:   required from ‘class Eigen::IndexedViewImpl<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange, Eigen::Dense>’
  153 | class IndexedViewImpl
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/IndexedView.h:109:7:   required from ‘class Eigen::IndexedView<const Eigen::Matrix<double, -1, 1>, std::vector<int>, Eigen::internal::SingleRange>’
  109 | class IndexedView : public IndexedViewImpl<XprType, RowIndices, ColIndices, typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~~~~~
slope/solvers/hybrid.h:238:24:   required from here
  238 |       penalty.eval(beta(working_set), lambda.head(working_set.size()));
      |                    ~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/hybrid.h:237:56:   required from here
  237 |       0.5 * (residual.array().square() * w.array()).sum() / residual.rows() +
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]’
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Func = assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; Derived = Eigen::Array<double, -1, 1>]’
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, 1>, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]’
  288 |       : Base(other.derived())
      |                             ^
slope/solvers/hybrid.h:238:19:   required from here
  238 |       penalty.eval(beta(working_set), lambda.head(working_set.size()));
      |       ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]’
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long int]’
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   required from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 1, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::sub_assign_op<double, double>, 0>]’
  518 |       kernel.assignCoeff(i);
      |       ~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = sub_assign_op<double, double>]’
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]’
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>]’
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >; Derived = Eigen::Matrix<double, -1, 1>]’
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/solvers/../losses/loss.h:120:48:   required from here
  120 |     beta0 -= residual.colwise().mean() / this->lipschitz_constant;
      |                                                ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/solvers/slope_threshold.cpp -o slope/solvers/slope_threshold.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:11,
                 from slope/solvers/../clusters.h:8,
                 from slope/solvers/slope_threshold.h:8,
                 from slope/solvers/slope_threshold.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/solvers/../math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/solvers/../math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/solvers/../math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/solvers/../math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/solvers/../math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/solvers/../math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/sorted_l1_norm.cpp -o slope/sorted_l1_norm.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/sorted_l1_norm.h:8,
                 from slope/sorted_l1_norm.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from ‘struct Eigen::internal::traits<Eigen::Array<double, -1, 1> >’
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Array<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from ‘class Eigen::Array<double, -1, 1>’
   45 | class Array
      |       ^~~~~
slope/math.h:50:51:   required from here
   50 | cumSum(const T& x, const bool leading_zero = false)
      |                                                   ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:157:37:   required from here
  157 |                 const bool intercept)
      |                                     ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, 1>’
  178 | class Matrix
      |       ^~~~~~
slope/math.h:161:16:   required from here
  161 |   int m = beta0.size();
      |                ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>’
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:182:27:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:182:76:   required from here
  182 |           eta_local.col(k).array() -= beta(ind) * x_centers(j) / x_scales(j);
      |                                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from ‘class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >’
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
slope/math.h:209:38:   required from here
  209 |     eta.rowwise() += beta0.transpose();
      |                                      ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>’
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>’
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from ‘class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>’
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from ‘class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>’
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
slope/math.h:255:47:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                               ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/math.h:255:62:   required from here
  255 |     weighted_residual.col(k) = residual.col(k).cwiseProduct(w);
      |                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/math.h:672:29:   required from here
  672 |   out.array() /= std::sqrt(n);
      |                             ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/clusters.h:8,
                 from slope/math.h:8,
                 from slope/sorted_l1_norm.cpp:3:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>’
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from ‘class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >’
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
slope/sorted_l1_norm.cpp:15:39:   required from here
   15 |   Eigen::ArrayXd beta_abs = beta.array().abs();
      |                             ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/sorted_l1_norm.cpp:15:45:   required from here
   15 |   Eigen::ArrayXd beta_abs = beta.array().abs();
      |                             ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/sorted_l1_norm.cpp:17:22:   required from here
   17 |   return (beta_abs * lambda).sum();
      |                      ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false, false>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false, false>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false, false>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sign_op<double, false, false>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false, false>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/sorted_l1_norm.cpp:30:40:   required from here
   30 |   ArrayXd beta_sign = beta.array().sign();
      |                       ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>’
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >’
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
slope/sorted_l1_norm.cpp:78:50:   required from here
   78 |   Eigen::ArrayXd abs_gradient = gradient.cwiseAbs();
      |                                 ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >’
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   38 |                    >::type Scalar;
      |                            ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/sorted_l1_norm.cpp:84:58:   required from here
   84 |   return (cumSum(abs_gradient) / (cumSum(lambda).cwiseMax(constants::MAX_DIV)))
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/sorted_l1_norm.cpp:84:58:   required from here
   84 |   return (cumSum(abs_gradient) / (cumSum(lambda).cwiseMax(constants::MAX_DIV)))
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >’
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Dense>’
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >’
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
slope/sorted_l1_norm.cpp:84:78:   required from here
   84 |   return (cumSum(abs_gradient) / (cumSum(lambda).cwiseMax(constants::MAX_DIV)))
      |                                                                              ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]’
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
slope/sorted_l1_norm.cpp:17:33:   required from here
   17 |   return (beta_abs * lambda).sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > > >; Scalar = double]’
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]’
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
slope/sorted_l1_norm.cpp:85:14:   required from here
   84 |   return (cumSum(abs_gradient) / (cumSum(lambda).cwiseMax(constants::MAX_DIV)))
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   85 |     .maxCoeff();
      |     ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/timer.cpp -o slope/timer.o
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG  -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/BH/include' -I'/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/bigmemory/include' -I/usr/local/include -D_FORTIFY_SOURCE=3  -I. -fopenmp -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic  -g -O2 -Wall -pedantic -mtune=native   -c slope/utils.cpp -o slope/utils.o
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
                 from slope/utils.h:8,
                 from slope/utils.cpp:1:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
                 from slope/utils.h:9:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
slope/utils.h:265:30:   required from here
  265 |   std::vector<Eigen::Triplet<double>> triplets;
      |                              ^~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, -1>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, -1, -1>’
  178 | class Matrix
      |       ^~~~~~
slope/utils.h:339:33:   required from here
  339 |   for (Eigen::Index j = 0; j < x.cols(); j++) {
      |                                 ^
/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -Wl,-O1 -o SLOPE.so RcppExports.o r-exports.o rcpp_cv.o rcpp_slope.o setup_model.o slope/clusters.o slope/cv.o slope/folds.o slope/kkt_check.o slope/logger.o slope/losses/loss.o slope/losses/logistic.o slope/losses/multinomial.o slope/losses/poisson.o slope/losses/quadratic.o slope/losses/setup_loss.o slope/math.o slope/normalize.o slope/qnorm.o slope/regularization_sequence.o slope/score.o slope/screening.o slope/slope.o slope/solvers/hybrid.o slope/solvers/hybrid_cd.o slope/solvers/pgd.o slope/solvers/setup_solver.o slope/solvers/slope_threshold.o slope/sorted_l1_norm.o slope/timer.o slope/utils.o -fopenmp -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -lR
make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp8NAayj/R.INSTALL30cf8c72585d36/SLOPE/src'
make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp8NAayj/R.INSTALL30cf8c72585d36/SLOPE/src'
make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp8NAayj/R.INSTALL30cf8c72585d36/SLOPE/src'
installing to /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/00LOCK-SLOPE/00new/SLOPE/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘SLOPE’
    finding HTML links ... done
    SLOPE-package                           html  
    SLOPE                                   html  
    abalone                                 html  
    bodyfat                                 html  
    coef.SLOPE                              html  
    createFolds                             html  
    cvSLOPE                                 html  
    deviance.SLOPE                          html  
    heart                                   html  
    interpolateCoefficients                 html  
    interpolatePenalty                      html  
    plot.SLOPE                              html  
    plot.TrainedSLOPE                       html  
    plotClusters                            html  
    plotDiagnostics                         html  
    predict.SLOPE                           html  
    print.SLOPE                             html  
    regularizationWeights                   html  
    score                                   html  
    setup_diagnostics                       html  
    sortedL1Prox                            html  
    student                                 html  
    trainSLOPE                              html  
    wine                                    html  
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (SLOPE)