plsdof (version 0.2-1)

coef.plsdof: Regression coefficients

Description

This function returns the regression coefficients of a plsdof-object.

Usage

## S3 method for class 'plsdof':
coef(object,...)

Arguments

object

an object of class "plsdof" that is returned by the functions pls.ic and pls.cv.

...

additional parameters

Value

• regression coefficients.

Details

The function returns the regression coefficients (without intercept) for the optimal number of components.

References

Kraemer, N., Sugiyama M. (2010). "The Degrees of Freedom of Partial Least Squares Regression". preprint http://arxiv.org/abs/1002.4112 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

See Also

vcov.plsdof, pls.model, pls.ic, pls.cv

Examples

n<-50 # number of observations
p<-5 # number of variables
X<-matrix(rnorm(n*p),ncol=p)
y<-rnorm(n)


pls.object<-pls.ic(X,y,criterion="bic")
mycoef<-coef(pls.object)