Package: PCovR
Type: Package
Title: Principal Covariates Regression
Version: 2.7
Depends: GPArotation, ThreeWay, MASS, stats, graphics, Matrix
Date: 2017-06-19
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. Several rotation options are provided in this package, as well as model selection options.
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: 2017-06-19 11:56:12 UTC; u0073672
Repository: CRAN
Date/Publication: 2017-06-19 13:57:10 UTC
Built: R 3.6.3; ; 2020-08-05 01:30:04 UTC; windows
