Title: Functions to Parse and Create XMCDA Files
Description: Functions which allow to read many XMCDA tags and transform them into R variables which are then usable in MCDA algorithms written in R. It also allows to write certain R variables into XML files respecting the XMCDA standard.

Title: Maximum Likelihood Shrinkage via Ridge or Least Angle Regression
Description: Identify and display TRACEs for a specified shrinkage path and
determine the extent of shrinkage most likely, under normal distribution
theory, to produce an optimal reduction in MSE Risk in estimates of
License: GPL version 2 or later; softRX freeware
Packaged: Sat Oct 15 16:26:58 2005; Prince BobO

Packaged: Wed Oct 19 17:03:23 2005; Prince BobO

Description: Identify and display TRACEs for a specified shrinkage path and determine the extent of shrinkage most likely, under normal distribution theory, to produce an optimal reduction in MSE Risk in estimates of regression (beta) coefficients.
Packaged: Mon Jul 16 21:31:34 2007; BobO

Title: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression
Description: Identify and display TRACEs for a specified shrinkage path and determine
the extent of shrinkage most likely, under normal distribution theory, to produce an
optimal reduction in MSE Risk in estimates of regression (beta) coefficients.
Packaged: Sat Feb 14 13:39:06 2009; BobO

Title: Maximum Likelihood Shrinkage via Generalized Ridge or Least
Description: Identify and display TRACEs for a specified shrinkage path
and determine the extent of shrinkage most likely, under normal
distribution theory, to produce an optimal reduction in MSE
Risk in estimates of regression (beta) coefficients.

optimal reduction in MSE Risk in estimates of regression (beta) coefficients. Alternative
estimates are also provided when ill-conditioned (nearly multicollinear) models yield
OLS estimates with "wrong" numerical signs.

Title: Maximum Likelihood Shrinkage using Generalized Ridge or Least
Description: Functions are provided to calculate and display ridge TRACEs for various
shrinkage PATHS. They determine the m-Extent of shrinkage most likely, under
Normal-distribution theory, to produce biased estimates of regression (beta) coefficients
with minimum MSE Risk. An alternative function, correct.signs(), provides beta coefficient
estimates when an ill-conditioned (nearly multicollinear) model yields OLS estimates with
("wrong") numerical signs that disagree with the signs of the observed correlations between
the Y-outcome and the selected X-predictor variables.