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
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

Documentation:

Reference manual:	spls.pdf
Vignettes:	Sparse PLS

Downloads:

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
Reverse suggests:	caret, fscaret, Patterns, subsemble, SuperLearner, superMICE
Reverse enhances:	joinet

Linking:

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