tskrr-class {xnet}

Class tskrr

Description

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.

Slots

y

the matrix with responses

k

the eigen decomposition of the kernel matrix for the rows

lambda.k

the lambda value used for k

pred

the matrix with the predictions

has.hat

a logical value indicating whether the kernel hat matrices are stored in the object.

Hk

the kernel hat matrix for the rows.

labels

a list with two character vectors, k and g, containing the labels for the rows resp. columns. See tskrrHomogeneous and tskrrHeterogeneous for more details.

See Also

the classes tskrrHomogeneous and tskrrHeterogeneous for the actual classes.