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: 2.5
Depends: GPArotation, ThreeWay, MASS, Matrix
Published: 2014-07-16
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
CRAN checks: PCovR results


Reference manual: PCovR.pdf
Package source: PCovR_2.5.tar.gz
Windows binaries: r-devel: PCovR_2.5.zip, r-release: PCovR_2.5.zip, r-oldrel: PCovR_2.5.zip
OS X Snow Leopard binaries: r-release: PCovR_2.5.tgz, r-oldrel: PCovR_2.5.tgz
OS X Mavericks binaries: r-release: PCovR_2.5.tgz
Old sources: PCovR archive