The class tskrr represents a two step kernel ridge regression fitting
object, and is normally generated by the function tskrr.
This is a superclass so it should not be instantiated directly.
ythe matrix with responses
kthe eigen decomposition of the kernel matrix for the rows
lambda.kthe lambda value used for k
predthe matrix with the predictions
has.hata logical value indicating whether the kernel hat matrices are stored in the object.
Hkthe kernel hat matrix for the rows.
labelsa list with two character vectors, k and
g, containing the labels for the rows resp. columns. See
tskrrHomogeneous and
tskrrHeterogeneous for more details.
the classes tskrrHomogeneous and
tskrrHeterogeneous for the actual classes.