PCovR (2.7)

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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 almost 3 years ago.

9 previous versions



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