dr: Methods for dimension reduction for regression

Functions, methods, and datasets for fitting dimension reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals and the response), and an iterative IRE. Partial methods, that condition on categorical predictors are also available. A variety of tests, and stepwise deletion of predictors, is also included. Also included is code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward. For documentation, see the vignette in the package.

Version: 3.0.2
Depends: MASS
Date: 2007/10/11
Author: Sanford Weisberg,
Maintainer: Sanford Weisberg <sandy at stat.umn.edu>
License: GPL (≥ 2)
URL: http://www.r-project.org
In views: Multivariate, SocialSciences
CRAN checks: dr results

Downloads:

Package source: dr_3.0.2.tar.gz
MacOS X binary: dr_3.0.2.tgz
Windows binary: dr_3.0.2.zip
Reference manual: dr.pdf
Vignettes: Overview and Examples
Old sources: dr archive