PCovR swMATH ID: 24176 Software Authors: Marlies Vervloet; Henk Kiers; Wim Van den Noortgate; Eva Ceulemans Description: R package 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. Homepage: https://cran.r-project.org/web/packages/PCovR/index.html Source Code: https://github.com/cran/PCovR Dependencies: R Keywords: principal covariates regression; dimension reduction; multicollinearity; regression models; R; R package; Journal of Statistical Software Related Software: CHull; Mplus; pls; R; threeway; Matrix Cited in: 0 Documents Standard Articles 1 Publication describing the Software Year