Nothing
COSSO is a new regularization method that automatically estimates and selects important function components by a softthresholding penalty in the context of smoothing spline ANOVA models. Implemented models include mean regression, quantile regression, logistic regression and the Cox regression models.
Package details 


Author  Hao Helen Zhang <hzhang@math.arizona.edu> and ChenYen Lin <clin5@ncsu.edu> 
Date of publication  20130311 07:44:02 
Maintainer  ChenYen Lin <clin5@ncsu.edu> 
License  GPL (>= 2) 
Version  2.11 
URL  http://www4.stat.ncsu.edu/~hzhang/cosso.html 
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.