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

# S3 method for 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. (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

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

Nicole Kraemer

## 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)