Nothing
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 
Maintainer  Irene Hoffmann <irene.hoffmann@tuwien.ac.at> 
License  GPL (>= 3) 
Version  1.2.2 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.