PCovR: Principal Covariates Regression

Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components. Several rotation options are provided in this package, as well as model selection options.

Version: 2.7
Depends: GPArotation, ThreeWay, MASS, stats, graphics, Matrix
Published: 2017-06-19
Author: Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]
Maintainer: Marlies Vervloet <marlies.vervloet at ppw.kuleuven.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: PCovR citation info
CRAN checks: PCovR results


Reference manual: PCovR.pdf
Package source: PCovR_2.7.tar.gz
Windows binaries: r-devel: PCovR_2.7.zip, r-release: PCovR_2.7.zip, r-oldrel: PCovR_2.7.zip
OS X El Capitan binaries: r-release: PCovR_2.6.tgz
OS X Mavericks binaries: r-oldrel: PCovR_2.7.tgz
Old sources: PCovR archive

Reverse dependencies:

Reverse suggests: DA.MRFA


Please use the canonical form https://CRAN.R-project.org/package=PCovR to link to this page.