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 (de Jong S. & Kiers H. A. L. (1992) ). Several rotation and model selection options are provided.


Reference manual

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2.7.1 by Marlies Vervloet, a year ago

Browse source code at

Authors: Marlies Vervloet [aut, cre] , Henk Kiers [aut] , Eva Ceulemans [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on GPArotation, ThreeWay, MASS, stats, graphics, Matrix

Imported by EFA.MRFA, vampyr.

See at CRAN