print.SCGLR

object of class 'SCGLR', usually a result of running <code><a rd-options="" href="/link/scglr?package=SCGLR&version=3.0" data-mini-rdoc="SCGLR::scglr">scglr</a></code>.

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Prints inertia per component and residual and null deviance for each Y.

internal


An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM
estimation in the multivariate context. Covariates can also be grouped in themes.

Guillaume Cornu

SCGLR

Supervised Component Generalized Linear Regression

Frederic Mortier

Catherine Trottier

Xavier Bry

Sylvie Gourlet-Fleury

Claude Garcia

print.SCGLR function

object of class 'SCGLR', usually a result of running <code><a rd-options='' href='scglr'>scglr</a></code>.

print.SCGLR: Print SCGLR object

Description

Usage

Arguments