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Robust dimension reduction methods for regression and discriminant analysis are implemented that yield estimates with a partial least squares alike interpretability. Partial robust M regression (PRM) is robust to both vertical outliers and leverage points. Sparse partial robust M regression (SPRM) is a related robust method with sparse coefficient estimate, and therefore with intrinsic variable selection. For binary classification related discriminant methods are PRMDA and SPRMDA.
Package details 


Author  Sven Serneels (BASF Corp) and Irene Hoffmann 
Date of publication  20160222 14:33:44 
Maintainer  Irene Hoffmann <[email protected]> 
License  GPL (>= 3) 
Version  1.2.2 
Package repository  View on CRAN 
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