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ddsPLS

Data-Driven Sparse Partial Least Squares

A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set.

Versions across snapshots

VersionRepositoryFileSize
1.2.1 rolling linux/jammy R-4.5 ddsPLS_1.2.1.tar.gz 573.5 KiB
1.2.1 rolling linux/noble R-4.5 ddsPLS_1.2.1.tar.gz 580.2 KiB
1.2.1 rolling source/ R- ddsPLS_1.2.1.tar.gz 399.5 KiB
1.2.1 latest linux/jammy R-4.5 ddsPLS_1.2.1.tar.gz 573.5 KiB
1.2.1 latest linux/noble R-4.5 ddsPLS_1.2.1.tar.gz 580.2 KiB
1.2.1 latest source/ R- ddsPLS_1.2.1.tar.gz 399.5 KiB
1.2.1 2026-04-26 source/ R- ddsPLS_1.2.1.tar.gz 399.5 KiB
1.2.1 2026-04-23 source/ R- ddsPLS_1.2.1.tar.gz 399.5 KiB
1.2.1 2026-04-09 windows/windows R-4.5 ddsPLS_1.2.1.zip 894.3 KiB
1.2.1 2025-04-20 source/ R- ddsPLS_1.2.1.tar.gz 399.5 KiB

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