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: 2.2-3
Depends: R (≥ 2.14)
Imports: MASS, nnet, parallel, pls
Published: 2019-05-04
DOI: 10.32614/CRAN.package.spls
Author: Dongjun Chung, Hyonho Chun, Sunduz Keles
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
In views: ChemPhys
CRAN checks: spls results


Reference manual: spls.pdf
Vignettes: Sparse PLS


Package source: spls_2.2-3.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, SmCCNet
Reverse suggests: caret, flowml, fscaret, Patterns, subsemble, SuperLearner, superMICE
Reverse enhances: joinet


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