Package: PCovR
Type: Package
Title: Principal Covariates Regression
Version: 2.7.2
Depends: GPArotation, ThreeWay, MASS, stats, graphics, Matrix
Description: 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 (de Jong
        S. & Kiers H. A. L. (1992) <doi:10.1016/0169-7439(92)80100-I>).
        Several rotation and model selection options are provided.
License: GPL (>= 2)
Encoding: UTF-8
Author: Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans
        [ctb]
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>
NeedsCompilation: no
Packaged: 2026-06-17 10:24:57 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2023-10-26 08:31:23 UTC
RemoteUrl: https://github.com/cran/PCovR
RemoteRef: HEAD
RemoteSha: 6b832b227a5cfb670c0ba26b86819b38d9293d22