plsdof-package {plsdof} | R Documentation |
The plsdof
package provides Degrees of Freedom estimates for Kernel Partial Least Squares Regression and its kernel extension. The package also provides model selection based on various information criteria (aic, bic, gmdl) and based on cross-validation.
For linear Partial Least Squares, the package computes the approximate distribution of the regression coefficients. This allows the construction of confidence intervals and tests.
Package: | plsdof |
Type: | Package |
Version: | 0.1-1 |
Date: | 2009-11-27 |
License: | GPL (>=2) |
LazyLoad: | yes |
Nicole Kraemer, Mikio L. Braun
Maintainer: Nicole Kraemer <nkraemer@cs.tu-berlin.de>
Kraemer, N., Braun, M.L. (2007) "Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection", Proceedings of the 24th International Conference on Machine Learning, Omni Press, 441 - 448
kernel.pls
, kernel.pls.cv
, kernel.pls.ic
,linear.pls
# to do