This function returns the variance-covariance matrix of a plsdof-object.
# S3 method for plsdof vcov(object, ...)
object | an object of class "plsdof" that is returned by the function
|
---|---|
... | additional parameters |
variance-covariance matrix
The function returns the variance-covariance matrix for the optimal number
of components. It can be applied to objects returned by pls.ic
and
pls.cv
.
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., Sugiyama M., Braun, M.L. (2009) "Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression." Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), p. 272-279
Nicole Kraemer
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,m=5,criterion="bic") my.vcov<-vcov(pls.object)#> WARNING: Covariance of regression coefficients is not available. #> Returning NULL object.