spls: Sparse Partial Least Squares (SPLS) Regression and Classification

Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).

Version: 2.3-2
Depends: R (≥ 2.14)
Imports: MASS, nnet, parallel, pls
Published: 2025-06-30
Author: Dongjun Chung [aut], Hyonho Chun [aut], Sunduz Keles [aut], Valentin Todorov ORCID iD [cre]
Maintainer: Valentin Todorov <valentin at todorov.at>
BugReports: https://github.com/valentint/spls/issues
License: GPL (≥ 3)
URL: https://github.com/valentint/spls
NeedsCompilation: no
Materials: README ChangeLog
In views: ChemPhys
CRAN checks: spls results

Documentation:

Reference manual: spls.pdf
Vignettes: Sparse PLS (source, R code)

Downloads:

Package source: spls_2.3-2.tar.gz
Windows binaries: r-devel: spls_2.2-3.zip, r-release: spls_2.2-3.zip, r-oldrel: spls_2.2-3.zip
macOS binaries: r-release (arm64): spls_2.2-3.tgz, r-oldrel (arm64): spls_2.2-3.tgz, r-release (x86_64): spls_2.2-3.tgz, r-oldrel (x86_64): spls_2.2-3.tgz
Old sources: spls archive

Reverse dependencies:

Reverse imports: bootPLS, enpls, rrcovHD, SelectBoost, sparselink
Reverse suggests: caret, flowml, fscaret, joinet, Patterns, subsemble, SuperLearner, superMICE

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spls to link to this page.