Description: Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.
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File list (Check if you may need any files):
回归算法\center.m
回归算法\choldelete.m
回归算法\cholinsert.m
回归算法\elasticnet.m
回归算法\example_elasticnet.m
回归算法\example_forwardselection.m
回归算法\example_lar.m
回归算法\example_lasso.m
回归算法\example_lasso_sigma.m
回归算法\example_slda.m
回归算法\example_spca.m
回归算法\forwardselection.m
回归算法\lar.m
回归算法\larsen.m
回归算法\lasso.m
回归算法\normalize.m
回归算法\profile_elasticnet.m
回归算法\profile_lar.m
回归算法\profile_lasso.m
回归算法\profile_slda.m
回归算法\profile_spca.m
回归算法\slda.m
回归算法\spca.m
回归算法\test_cholesky.m
回归算法\test_elasticnet_lasso_equivalence.m
回归算法\test_elasticnet_orthogonal_variables.m
回归算法\test_elasticnet_ridge_equivalence.m
回归算法\test_group_selection.m
回归算法\test_lar_lasso_equivalence.m
回归算法\test_lar_ols_equivalence.m
回归算法\test_lasso_ols_equivalence.m
回归算法\test_lasso_orthogonal_variables.m
回归算法\test_slda_orthogonality.m
回归算法\test_slda_pda_equivalence.m
回归算法\test_slda_ridge_equivalence.m
回归算法\test_spca_pca_equivalence.m
回归算法
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