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: 2023-10-25 15:00:45 UTC; u0046811
Repository: CRAN
Date/Publication: 2023-10-26 07:20:08 UTC
Built: R 4.6.0; ; 2026-04-27 09:00:59 UTC; unix
