coef.plsdof: Regression coefficients

In plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

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

Details

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

Value

regression coefficients.

Author(s)

Nicole Kraemer

References

Kraemer, N., Sugiyama M. (2011). "The Degrees of Freedom of Partial Least Squares Regression". Journal of the American Statistical Association 106 (494) https://www.tandfonline.com/doi/abs/10.1198/jasa.2011.tm10107

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)

plsdof documentation built on Dec. 1, 2022, 1:13 a.m.