* installing *source* package 'GGClassification' ...
** package 'GGClassification' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 12.3.0'
make[1]: Entering directory '/d/temp/RtmpUHoC3r/R.INSTALLb5141a665264/GGClassification/src'
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.2/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c GGClassification_gabriel_graph.cpp -o GGClassification_gabriel_graph.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:397,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigen.h:25,
                 from GGClassification_gabriel_graph.cpp:2:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:377:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:370:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:439:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/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/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_gabriel_graph.cpp:26:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_gabriel_graph.cpp:26:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_gabriel_graph.cpp:26:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
GGClassification_gabriel_graph.cpp:31:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>'
GGClassification_gabriel_graph.cpp:31:69:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
GGClassification_gabriel_graph.cpp:31:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
GGClassification_gabriel_graph.cpp:31:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >'
GGClassification_gabriel_graph.cpp:31:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1>'
GGClassification_gabriel_graph.cpp:31:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
GGClassification_gabriel_graph.cpp:31:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
GGClassification_gabriel_graph.cpp:31:122:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, -1>'
GGClassification_gabriel_graph.cpp:35:12:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >'
GGClassification_gabriel_graph.cpp:35:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>'
GGClassification_gabriel_graph.cpp:40:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_gabriel_graph.cpp:40:102:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:445:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:428:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_gabriel_graph.cpp:40:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1194:64:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1>, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:99:1:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:99:1:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, -1> >, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_gabriel_graph.cpp:31:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.2/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c GGClassification_model.cpp -o GGClassification_model.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:397,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigen.h:25,
                 from GGClassification_model.cpp:2:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:377:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:370:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:439:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/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/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
GGClassification_model.cpp:24:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
GGClassification_model.cpp:24:78:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<double, -1, -1> >'
GGClassification_model.cpp:24:132:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>'
GGClassification_model.cpp:35:21:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>'
GGClassification_model.cpp:35:38:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, -1>'
GGClassification_model.cpp:60:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<int, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Array<int, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Array<int, -1, -1> >'
GGClassification_model.cpp:60:84:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
GGClassification_model.cpp:72:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
GGClassification_model.cpp:72:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
GGClassification_model.cpp:72:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
GGClassification_model.cpp:72:80:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1>'
GGClassification_model.cpp:72:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >'
GGClassification_model.cpp:72:113:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >'
GGClassification_model.cpp:72:122:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>'
GGClassification_model.cpp:80:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_model.cpp:80:102:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
GGClassification_model.cpp:111:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Matrix<int, -1, 1> >'
GGClassification_model.cpp:112:44:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<int, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Array<int, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>'
GGClassification_model.cpp:130:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >'
GGClassification_model.cpp:132:69:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
GGClassification_model.cpp:227:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
GGClassification_model.cpp:227:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_model.cpp:230:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
GGClassification_model.cpp:233:26:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
GGClassification_model.cpp: In function 'Rcpp::List GetModelParams(const Eigen::ArrayXXi&, const Eigen::ArrayXXd&, int, int, const std::vector<int>&, std::vector<int>)':
GGClassification_model.cpp:215:7: warning: unused variable 'sig' [-Wunused-variable]
  215 |   int sig;
      |       ^~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_model.cpp:289:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/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/4.3/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> > >'
D:/RCompile/CRANpkg/lib/4.3/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> > >'
D:/RCompile/CRANpkg/lib/4.3/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> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >'
GGClassification_model.cpp:295:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >'
GGClassification_model.cpp:295:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
GGClassification_model.cpp:295:74:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >'
GGClassification_model.cpp:295:88:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, Eigen::Array<int, -1, -1> >'
GGClassification_model.cpp:301:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:445:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:428:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_model.cpp:80:114:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41:   required from 'struct Eigen::internal::mapbase_evaluator<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Array<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Array<int, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:937:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Array<int, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:344:24:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Ref<Eigen::Array<int, -1, -1> >; Scalar = int; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:366:22:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Ref<Eigen::Array<int, -1, -1> >; Scalar = int; Eigen::Index = long long int]'
GGClassification_model.cpp:84:27:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<int, int>; Derived = Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = int]'
GGClassification_model.cpp:130:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >; U = Eigen::Matrix<int, -1, 1>; ResScalar = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<int, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = int; typename Eigen::internal::traits<OtherDerived>::Scalar = int; typename Eigen::internal::traits<T>::Scalar = int]'
GGClassification_model.cpp:132:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<int, int>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, const Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<int, int>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<int, int>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, const Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<int, int>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, const Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<int, int>, const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> > >, const Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >; U = Eigen::Matrix<int, -1, 1>; ResScalar = int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<int, -1, 1>; Derived = Eigen::MatrixWrapper<const Eigen::Block<const Eigen::Array<int, -1, -1>, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = int; typename Eigen::internal::traits<OtherDerived>::Scalar = int; typename Eigen::internal::traits<T>::Scalar = int]'
GGClassification_model.cpp:132:75:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, -1, 1, 1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_model.cpp:227:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_model.cpp:233:32:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; Src = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>]'
GGClassification_model.cpp:244:48:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Map<Eigen::Array<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:468:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Map<Eigen::Array<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_model.cpp:295:39:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_model.cpp:295:85:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_model.cpp:227:64:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>]'
GGClassification_model.cpp:35:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>]'
GGClassification_model.cpp:35:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Array<double, -1, -1> >, 1, -1, false>]'
GGClassification_model.cpp:35:40:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:33:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:99:1:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:99:1:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_squaredNorm<double>, 1> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::Replicate<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_squaredNorm<double>, 1> > >; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_model.cpp:72:123:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.2/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c GGClassification_predict.cpp -o GGClassification_predict.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:397,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigen.h:25,
                 from GGClassification_predict.cpp:2:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:377:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:370:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:439:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/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/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_predict.cpp:26:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:109:75:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_predict.cpp:26:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, -1> >'
GGClassification_predict.cpp:26:23:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
GGClassification_predict.cpp:37:31:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<int, -1, 1>'
GGClassification_predict.cpp:43:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>'
GGClassification_predict.cpp:48:52:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/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::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
GGClassification_predict.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/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::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
GGClassification_predict.cpp:48:54:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>'
GGClassification_predict.cpp:48:70:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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/4.3/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> > >'
D:/RCompile/CRANpkg/lib/4.3/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> > >'
D:/RCompile/CRANpkg/lib/4.3/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> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
GGClassification_predict.cpp:49:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
GGClassification_predict.cpp:49:51:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
GGClassification_predict.cpp:60:24:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >'
GGClassification_predict.cpp:60:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >'
GGClassification_predict.cpp:60:81:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>'
GGClassification_predict.cpp:60:103:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
GGClassification_predict.cpp:61:61:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, -1, -1> >'
GGClassification_predict.cpp:65:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1>'
GGClassification_predict.cpp:67:61:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >'
GGClassification_predict.cpp:67:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_predict.cpp:71:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_predict.cpp:71:53:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_predict.cpp:72:76:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_predict.cpp:73:56:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 1, -1, 1, 1, -1>'
GGClassification_predict.cpp:74:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
GGClassification_predict.cpp:74:58:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, 1, -1, 1, 1, -1> > >'
GGClassification_predict.cpp:75:82:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
GGClassification_predict.cpp:76:61:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > > >'
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >'
GGClassification_predict.cpp:76:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
GGClassification_predict.cpp: In function 'Rcpp::IntegerVector predict(Rcpp::List, Rcpp::NumericMatrix&)':
GGClassification_predict.cpp:34:7: warning: unused variable 'ncols' [-Wunused-variable]
   34 |   int ncols = X_array.cols();
      |       ^~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:445:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_predict.cpp:75:81:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/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::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Array<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
GGClassification_predict.cpp:78:19:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:829:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sign_op<double, false>, const Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:76:63:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:33:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:48:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:33:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:48:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:67:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:67:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, -1, 1, true>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:48:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1:   required from 'ResultType Eigen::internal::member_sum<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, 1, -1, false>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >; MemberOp = Eigen::internal::member_sum<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:61:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, member_sum<double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> >, Eigen::internal::member_sum<double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:48:71:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:107:1:   required from 'ResultType Eigen::internal::member_maxCoeff<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_maxCoeff<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:549:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:67:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:107:1:   required from 'ResultType Eigen::internal::member_maxCoeff<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, 1, -1, false>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_maxCoeff<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:549:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:67:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Src = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, member_lpnorm<2, double>, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, -1> >, const Eigen::Replicate<Eigen::Block<Eigen::Array<double, -1, -1>, 1, -1, false>, -1, 1> > >, Eigen::internal::member_lpnorm<2, double>, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>]'
GGClassification_predict.cpp:60:104:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double>; Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Redux.h:438:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:107:1:   required from 'ResultType Eigen::internal::member_maxCoeff<ResultType>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; ResultType = double]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:23:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<ArgType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Array<double, -1, -1>; MemberOp = Eigen::internal::member_maxCoeff<double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:549:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, member_maxCoeff<double>, 1> >]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; Derived = Eigen::Array<double, -1, 1>]'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Array.h:109:24:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::PartialReduxExpr<Eigen::Array<double, -1, -1>, Eigen::internal::member_maxCoeff<double>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
GGClassification_predict.cpp:67:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R-4.3.2/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.3/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include'   -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:397,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:377:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:370:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Core:439:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.3/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/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
D:/RCompile/CRANpkg/lib/4.3/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
g++ -std=gnu++17 -shared -s -static-libgcc -o GGClassification.dll tmp.def GGClassification_gabriel_graph.o GGClassification_model.o GGClassification_predict.o RcppExports.o -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R-4.3.2/bin/x64 -lR
make[1]: Leaving directory '/d/temp/RtmpUHoC3r/R.INSTALLb5141a665264/GGClassification/src'
make[1]: Entering directory '/d/temp/RtmpUHoC3r/R.INSTALLb5141a665264/GGClassification/src'
make[1]: Leaving directory '/d/temp/RtmpUHoC3r/R.INSTALLb5141a665264/GGClassification/src'
installing to d:/Rcompile/CRANpkg/lib/4.3/00LOCK-GGClassification/00new/GGClassification/libs/x64
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** 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 'GGClassification' as GGClassification_0.1.zip
* DONE (GGClassification)