Package: dr
Version: 1.0.2
Date:  2002/12/18
Title: Methods for dimension reduction for regression
Author: Sanford Weisberg <sandy@stat.umn.edu>,
Maintainer: Sanford Weisberg <sandy@stat.umn.edu>
Description: Functions, methods, and datasets for fitting dimension
reduction regression, including pHd and inverse regression methods
SIR and SAVE.  These methods are described, for example, in
R. D. Cook (1998), Regression Graphics, Wiley, New York.  Also included is
code for computing permutation tests of dimension.  Adding additional
methods of estimating dimension is straightforward.  One function depends
on the lqs package.  Minor revision to be compatible with R 1.6, and one
bug-fix.
License: GPL version 2 or newer
URL: http://www.r-project.org

Package: dr
Version: 1.0.3
Date:  2003/1/23
Title: Methods for dimension reduction for regression
Author: Sanford Weisberg <sandy@stat.umn.edu>,
Maintainer: Sanford Weisberg <sandy@stat.umn.edu>
Description: Functions, methods, and datasets for fitting dimension
reduction regression, including pHd and inverse regression methods
SIR and SAVE.  These methods are described, for example, in
R. D. Cook (1998), Regression Graphics, Wiley, New York.  Also included is
code for computing permutation tests of dimension.  Adding additional
methods of estimating dimension is straightforward.  One function depends
on the lqs package.  Minor revision to be compatible with R 1.7.
License: GPL version 2 or newer
URL: http://www.r-project.org

on the lqs package.  Minor revision to be compatible with R 2.0.0, and
Packaged: Tue Oct 12 17:13:59 2004; sandy

Packaged: Tue Aug 30 09:07:33 2005; sandy

Packaged: Wed Aug 31 08:37:05 2005; sandy

Packaged: Wed Sep 27 13:14:08 2006; sandy

Title: Methods for Dimension Reduction for Regression
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
methods of estimating dimension is straightforward.
For documentation, see the vignette in the package.   With version 3.0.4,
the arguments for dr.step have been modified.