print.SCGLR

object of class 'SCGLR', usually a result of running <code><a href="/link/scglr?package=SCGLR&version=2.0.2" rd-options="" data-mini-rdoc="SCGLR::scglr">scglr</a></code>.

Prints inertia per component and deviance for each Y.

The Fisher Scoring Algorithm is extended so as to combine Partial Least Squares
    regression with Generalized Linear Model estimation in the multivariate context.

print.SCGLR: Print SCGLR object

Description

Usage

Arguments