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spls: Sparse Partial Least Squares (SPLS) Regression andClassification

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
DOI:10.32614/CRAN.package.spls
Author:Dongjun Chung [aut], Hyonho Chun [aut], Sunduz Keles [aut], Valentin TodorovORCID 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.html ,spls.pdf
Vignettes:Sparse PLS (source,R code)

Downloads:

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

Reverse dependencies:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=splsto link to this page.


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