summary.SCGLR: Summarizing SCGLR fits

In SCGLR: Supervised Component Generalized Linear Regression

Description

Summary method for class "SCGLR".

Usage

## S3 method for class 'SCGLR'
summary(object, ...)

## S3 method for class 'summary.SCGLR'
print(x, digits = 3, ...)

Arguments

object	an object of class "SCGLR", usually a result of a call to scglr.
...	Not used.
x	an object of class "summary.SCGLR", usually a result of a call to summary.SCGLR.
digits	the number of significant digits to use when printing.

Value

an object of class "summary.SCGLR".

inertia	inertia per component.
deviance.null	null deviance for each Y_k.
deviance.residual	residual deviance for each Y_k.
rho	squared correlations with numerical covariates.
rho.pred	squared correlations with linear predictors.
coefficients	contains the coefficients of the regression on the components.

SCGLR documentation built on May 1, 2019, 8 p.m.