spcr: Sparse Principal Component Regression

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

Version: 2.1
Published: 2021-09-28
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano at ai.lab.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

Documentation:

Reference manual: spcr.pdf

Downloads:

Package source: spcr_2.1.tar.gz
Windows binaries: r-devel: spcr_2.1.zip, r-devel-UCRT: spcr_2.1.zip, r-release: spcr_2.1.zip, r-oldrel: spcr_2.1.zip
macOS binaries: r-release (arm64): spcr_2.1.tgz, r-release (x86_64): spcr_2.1.tgz, r-oldrel: spcr_2.1.tgz
Old sources: spcr archive

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