enpls: Ensemble Partial Least Squares (EnPLS) Regression

R package for ensemble partial least squares regression, a unified framework for feature selection, outlier detection, and ensemble learning.

Version: 1.0
Imports: pls, foreach, doParallel
Suggests: knitr
Published: 2014-10-03
Author: Nan Xiao, Dong-Sheng Cao, Qing-Song Xu
Maintainer: Nan Xiao <road2stat at gmail.com>
BugReports: https://github.com/road2stat/enpls/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/road2stat/enpls
NeedsCompilation: no
CRAN checks: enpls results

Downloads:

Reference manual: enpls.pdf
Vignettes: enpls: R Package for Ensemble Partial Least Squares Regression
Package source: enpls_1.0.tar.gz
Windows binaries: r-devel: enpls_1.0.zip, r-release: enpls_1.0.zip, r-oldrel: enpls_1.0.zip
OS X Snow Leopard binaries: r-release: enpls_1.0.tgz, r-oldrel: enpls_1.0.tgz
OS X Mavericks binaries: r-release: enpls_1.0.tgz