pairs.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>.

optionally, further arguments forwarded to <code><a rd-options="" href="/link/plot.SCGLR?package=SCGLR&version=3.0" data-mini-rdoc="SCGLR::plot.SCGLR">plot.SCGLR</a></code>.

&#8230;

number of rows of the grid layout.

nrow

number of columns of the grid layout.

ncol

vector of integers selecting components to plot (default is all components).

components


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

pairs.SCGLR function

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

optionally, further arguments forwarded to <code><a rd-options='' href='plot.SCGLR'>plot.SCGLR</a></code>.

pairs.SCGLR: Pairwise scglr plot on components

Description

Usage

Arguments

See Also