barplot.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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Barplot of percent of overall X variance captured by component

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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

barplot.SCGLR function

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

barplot.SCGLR: Barplot of percent of overall X variance captured by component

Description

Usage

Arguments

Value

See Also