nipals: Principal Components Analysis using NIPALS with Gram-Schmidt Orthogonalization

Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.

Version: 0.4
Depends: R (≥ 3.4.0)
Suggests: knitr, rmarkdown, testthat
Published: 2018-02-11
Author: Kevin Wright ORCID iD [aut, cre]
Maintainer: Kevin Wright <kw.stat at>
License: GPL-3
NeedsCompilation: no
CRAN checks: nipals results


Reference manual: nipals.pdf
Vignettes: NIPALS algorithm
Comparing NIPALS functions in R
NIPALS optimization notes
Package source: nipals_0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X El Capitan binaries: r-release: nipals_0.4.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: nipals archive

Reverse dependencies:

Reverse imports: gge


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