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.


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install.packages("PCovR")

2.7.1 by Marlies Vervloet, 3 months ago


Browse source code at https://github.com/cran/PCovR


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