spcr: Sparse Principal Component Regression

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

Version: 2.0
Published: 2016-10-03
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano at uec.ac.jp>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://sites.google.com/site/shuichikawanoen/
NeedsCompilation: yes
CRAN checks: spcr results

Downloads:

Reference manual: spcr.pdf
Package source: spcr_2.0.tar.gz
Windows binaries: r-devel: spcr_2.0.zip, r-release: spcr_2.0.zip, r-oldrel: spcr_2.0.zip
OS X El Capitan binaries: r-release: spcr_2.0.tgz
OS X Mavericks binaries: r-oldrel: spcr_2.0.tgz
Old sources: spcr archive

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