PCovR: 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.

AuthorMarlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]
Date of publication2015-05-05 16:14:39
MaintainerMarlies Vervloet <marlies.vervloet@ppw.kuleuven.be>
LicenseGPL (>= 2)
Version2.6

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