Package: dr
Version: 3.0.2
Date:  2007/10/11
Title: Methods for dimension reduction for regression
Author: Sanford Weisberg <sandy@stat.umn.edu>,
Maintainer: Sanford Weisberg <sandy@stat.umn.edu>
Depends:  MASS
Description: 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.
License: GPL (>= 2)
URL: http://www.r-project.org
Packaged: Thu Oct 11 08:00:24 2007; sandy

Package: dr
Version: 3.0.3
Date:  2008/12/09
Title: Methods for dimension reduction for regression
Author: Sanford Weisberg <sandy@stat.umn.edu>,
Maintainer: Sanford Weisberg <sandy@stat.umn.edu>
Depends:  MASS
Description: 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 3.0.1 corrects
an error in psir and psave first detected with R 2.8.0.
License: GPL version 2 or newer
URL: http://www.r-project.org
Packaged: Wed Dec 10 08:54:05 2008; sandy

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.  With version 3.0.4, the arguments for