* installing *source* package 'multiview' ...
** this is package 'multiview' version '0.8'
** package 'multiview' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 14.2.0'
using C++17
make[1]: Entering directory '/d/temp/2025_07_15_01_50_00_18950/RtmpqCoIS7/R.INSTALLfba040595b9a/multiview/src'
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/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> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/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) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:26:85:   required from here
   26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type x(xSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:26:85:   required from here
   26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type x(xSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:26:85:   required from here
   26 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::MatrixXd> >::type x(xSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:29:85:   required from here
   29 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type v(vSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:29:85:   required from here
   29 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::VectorXd> >::type v(vSEXP);
      |                                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:64:11:   required from 'class Rcpp::ConstInputParameter<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >'
   64 |         T obj ;
      |           ^~~
RcppExports.cpp:64:97:   required from here
   64 |     Rcpp::traits::input_parameter< const Eigen::Map<Eigen::SparseMatrix<double>> >::type x(xSEXP);
      |                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test    -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c wls_exp.cpp -o wls_exp.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from wls_exp.cpp:2:
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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 }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/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> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/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> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/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) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
  555 |                         clt_slice(i, k) = cl(i,j);
      |                         ~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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]
D:/RCompile/CRANpkg/lib/4.6/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;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<double, -1, -1> > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1> >'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
  555 |                         clt_slice(i, k) = cl(i,j);
      |                         ~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                                                               ^~~
glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34:   required from here
  555 |                         clt_slice(i, k) = cl(i,j);
      |                         ~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10:   required from here
  400 |         e.array() = (-g).array().exp();
      |          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >
      |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38:   required from here
  402 |         p.array() = 1./(1. + e.array());
      |                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>':
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
  402 |         p.array() = 1./(1. + e.array());
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
  402 |         p.array() = 1./(1. + e.array());
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
  402 |         p.array() = 1./(1. + e.array());
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39:   required from here
  402 |         p.array() = 1./(1. + e.array());
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48:   required from here
  409 |             p.array() = 1./(1. + ea0 * e.array());
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
  409 |             p.array() = 1./(1. + ea0 * e.array());
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49:   required from here
  409 |             p.array() = 1./(1. + ea0 * e.array());
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                                                               ^~~
wls_exp.cpp:40:5:   required from here
   40 |     )
      |     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8:   required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>'
  796 | struct ElnetPointInternalGaussianWLSBase
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8:   required from 'struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>'
   10 | struct ElnetPointInternal<
      |        ^~~~~~~~~~~~~~~~~~~
   11 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   13 |     ValueType,
      |     ~~~~~~~~~~
   14 |     IndexType,
      |     ~~~~~~~~~~
   15 |     BoolType>
      |     ~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from 'struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
   16 | struct ElnetPointCRTPBase:
      |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from 'struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
    8 | struct ElnetPointGaussianBase :
      |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from 'struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >'
    9 | struct ElnetPoint<
      |        ^~~~~~~~~~~
   10 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
   11 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |     ElnetPointInternalPolicy>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:52:17:   required from here
   52 |                 alm0, almc, alpha, x, r, xv, v, intr, ju, vp,
      |                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8:   required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>'
  796 | struct ElnetPointInternalGaussianWLSBase
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8:   required from 'struct glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>'
   10 | struct ElnetPointInternal<
      |        ^~~~~~~~~~~~~~~~~~~
   11 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   13 |     ValueType,
      |     ~~~~~~~~~~
   14 |     IndexType,
      |     ~~~~~~~~~~
   15 |     BoolType>
      |     ~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from 'struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
   16 | struct ElnetPointCRTPBase:
      |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from 'struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
    8 | struct ElnetPointGaussianBase :
      |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from 'struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >'
    9 | struct ElnetPoint<
      |        ^~~~~~~~~~~
   10 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
   11 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |     ElnetPointInternalPolicy>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:52:17:   required from here
   52 |                 alm0, almc, alpha, x, r, xv, v, intr, ju, vp,
      |                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:113:5:   required from here
  113 |     )
      |     ^
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7:   required from 'class Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >'
  255 | class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32:   required from 'struct glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>'
  150 |     Eigen::Map<const sp_mat_t> X_;      // data matrix
      |                                ^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8:   required from 'struct glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
   16 | struct ElnetPointCRTPBase:
      |        ^~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8:   required from 'struct glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >'
    8 | struct ElnetPointGaussianBase :
      |        ^~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8:   required from 'struct glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >'
    9 | struct ElnetPoint<
      |        ^~~~~~~~~~~
   10 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
   11 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   12 |     ElnetPointInternalPolicy>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8:   required from 'struct glmnetpp::SpElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >'
    7 | struct SpElnetPoint<
      |        ^~~~~~~~~~~~~
    8 |     util::glm_type::gaussian,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
    9 |     util::mode_type<util::glm_type::gaussian>::wls,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   10 |     ElnetPointInternalPolicy>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~
wls_exp.cpp:125:17:   required from here
  125 |                 alm0, almc, alpha, x, r, xm, xs, xv, v, intr, ju, vp,
      |                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Map<const 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
      |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Map<const 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
      |       ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>'
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28:   required from 'typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
      |                      ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from 'glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   85 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>'
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44:   required from 'typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
      |                      ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from 'glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   85 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
  292 | struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>'
  438 |       CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                           ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8:   required from 'struct Eigen::internal::block_evaluator<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>'
 1087 | struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>'
  334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59:   required from 'typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from 'glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   85 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/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 D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54:   required from 'struct Eigen::internal::sparse_conjunction_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>'
  407 |   typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
      |                                                      ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>'
  334 | struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block<const Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
   29 |   internal::evaluator<Derived> thisEval(derived());
      |                                ^~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59:   required from 'typename glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  133 |         value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41:   required from 'glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   85 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const 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);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<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);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64:   required from 'static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]'
  206 |     compute_grad(const RType& r, const XType& x) { return r.dot(x); }
      |                                                           ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  118 |         return base_t::compute_grad(this->resid(), X_.col(k));
      |                ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  123 |         return std::abs(compute_grad(k));
      |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   75 |                 [&](index_t j) { return compute_abs_grad(j); });
      |                                         ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33:   required from 'glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::SparseMatrix<double, 0, int> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XMType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XSType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   83 |         svr_ = this->resid().sum();
      |                ~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const 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);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>':
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52:   required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]'
  928 |         auto d = gaussian_naive_t::update_intercept(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  929 |                 a0_, this->resid(), this->convg_measure(), intr_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  930 |                 r_sum, xmz_, v_);
      |                 ~~~~~~~~~~~~~~~~                    
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33:   required from 'void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]'
   99 |         base_t::update_intercept(this->resid().sum());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   55 |         this->update_intercept();
      |         ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52:   required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase<ValueType, IndexType, BoolType>::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer<double, int, int>]'
  928 |         auto d = gaussian_naive_t::update_intercept(
      |                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  929 |                 a0_, this->resid(), this->convg_measure(), intr_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  930 |                 r_sum, xmz_, v_);
      |                 ~~~~~~~~~~~~~~~~                    
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33:   required from 'void glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]'
   99 |         base_t::update_intercept(this->resid().sum());
      |         ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   55 |         this->update_intercept();
      |         ~~~~~~~~~~~~~~~~~~~~~~^~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7:   required from 'class Eigen::BlockImpl<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>'
   17 | class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23:   required from 'void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]'
  110 |                 X_.col(k).cwiseProduct(this->weight()));
      |                 ~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]'
   57 |         this->update_resid(k, beta_diff);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
  128 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>'
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39:   required from 'void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]'
  110 |                 X_.col(k).cwiseProduct(this->weight()));
      |                 ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]'
   57 |         this->update_resid(k, beta_diff);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
  128 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]'
  381 |         r -= beta_diff * x;
      |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>'
   36 | class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24:   required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase<ValueType, IndexType, BoolType>::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >&; XType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase<double, int, int>]'
  381 |         r -= beta_diff * x;
      |              ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39:   required from 'void glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::value_t = double]'
  109 |         gaussian_naive_t::update_resid(this->resid(), d_scaled,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
  110 |                 X_.col(k).cwiseProduct(this->weight()));
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >]'
   57 |         this->update_resid(k, beta_diff);
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
  128 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; 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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Block<const Eigen::Map<const 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);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  113 |         return X_.col(k).array().square().matrix().dot(this->weight());
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   74 |                 [&](index_t j) { return compute_xv(j); },
      |                                         ^~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const 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::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const 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());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const 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>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map<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);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64:   required from 'static auto glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::compute_grad(const RType&, const XType&) [with RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XType = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]'
  206 |     compute_grad(const RType& r, const XType& x) { return r.dot(x); }
      |                                                           ~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  118 |         return base_t::compute_grad(this->resid(), X_.col(k));
      |                ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25:   required from 'typename glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
  123 |         return std::abs(compute_grad(k));
      |                         ^~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41:   required from 'glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; RType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; XVType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; VType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; JUType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; CLType = Eigen::Map<Eigen::Matrix<double, -1, -1> >; AType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; GType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; IAType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map<Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase<double, int, int>; typename base_t::index_t = int]'
   75 |                 [&](index_t j) { return compute_abs_grad(j); });
      |                                         ^~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23:   required from here
   93 |     using internal_t::internal_t;
      |                       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   48 |             ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
      |                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
  111 |       : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62:   required from 'const typename Eigen::SparseMatrixBase<Derived>::CwiseProductDenseReturnType<OtherDerived>::Type Eigen::SparseMatrixBase<Derived>::cwiseProduct(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType<OtherDerived>::Type = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::SparseMatrix<double, 0, int>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
  689 |   return typename CwiseProductDenseReturnType<OtherDerived>::Type(derived(), other.derived());
      |                                                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
  128 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:55:24:   required from here
   55 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>':
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90:   required from 'glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)> [with auto:4 = int]'
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23:   required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase<ValueType, IndexType>::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator<int>; UpdatePolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:4)>; SkipPolicy = glmnetpp::ElnetPointCRTPBase<glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> > >::fit<glmnetpp::util::update_type::full, true, glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack&)::<lambda()>::<lambda(auto:5)>; ValueType = double; IndexType = int]'
   38 |             update_pol(k);
      |             ~~~~~~~~~~^~~
glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45:   required from 'std::pair<bool, bool> glmnetpp::ElnetPointCRTPBase<ElnetPointDerived>::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   40 |                     this->for_each_with_skip(
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |                         this->all_begin(),
      |                         ~~~~~~~~~~~~~~~~~~   
   42 |                         this->all_end(),
      |                         ~~~~~~~~~~~~~~~~     
   43 |                         [=, &pack](auto k) { this->self().template update<update_t::full>(k, pack); },
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   44 |                         [=](auto k) { return this->is_excluded(k); }
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   45 |                     );
      |                     ~                        
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78:   required from 'void glmnetpp::ElnetPointGaussianBase<Derived>::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int> >]'
   35 |                     [&]() { return base_t::template fit<update_t::full, true>(pack); }
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24:   required from 'void glmnetpp::ElnetPoint<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal<glmnetpp::util::glm_type::gaussian, glmnetpp::util::Mode<glmnetpp::util::glm_type::gaussian>::type::wls, double, int, int>]'
   43 |             base_t::fit(PointConfigPack());
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
wls_exp.cpp:128:24:   required from here
  128 |         elnet_point.fit(m, jerr);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/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++ -shared -s -static-libgcc -o multiview.dll tmp.def RcppExports.o wls_exp.o -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
make[1]: Leaving directory '/d/temp/2025_07_15_01_50_00_18950/RtmpqCoIS7/R.INSTALLfba040595b9a/multiview/src'
make[1]: Entering directory '/d/temp/2025_07_15_01_50_00_18950/RtmpqCoIS7/R.INSTALLfba040595b9a/multiview/src'
make[1]: Leaving directory '/d/temp/2025_07_15_01_50_00_18950/RtmpqCoIS7/R.INSTALLfba040595b9a/multiview/src'
installing to d:/Rcompile/CRANpkg/lib/4.6/00LOCK-multiview/00new/multiview/libs/x64
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* MD5 sums
packaged installation of 'multiview' as multiview_0.8.zip
* DONE (multiview)