Package: PCovR
Type: Package
Title: Principal Covariates Regression
Version: 2.7.1
Depends: GPArotation, ThreeWay, MASS, stats, graphics, Matrix
Date: 2021-01-28
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)
Author: Marlies Vervloet [aut, cre],
  Henk Kiers [aut],
  Eva Ceulemans [ctb]
Maintainer: Marlies Vervloet <marlies.vervloet@ppw.kuleuven.be>
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2021-01-28 16:11:04 UTC; u0046811
Repository: CRAN
Date/Publication: 2021-01-29 10:10:08 UTC
Built: R 4.1.0; ; 2021-05-26 14:34:25 UTC; unix
