PCovR (2.7)

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.

Maintainer: Marlies Vervloet
Author(s): Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]

License: GPL (>= 2)

Uses: GPArotation, MASS, Matrix, ThreeWay
Reverse suggests: DA.MRFA

Released 2 months ago.