compute_sc: Compute the GLM systematic component.
In gspcr: Generalized Supervised Principal Component Regression

compute_sc

R Documentation

Compute the GLM systematic component.

Description

Compute the systematic component of a GLM of interest.

Usage

compute_sc(mod, predictors)

Arguments

`mod`	a fit object returned by one of `stats::lm`, `stats::glm`, `nnet::multinom`, or `MASS::polr`.
`predictors`	matrix or data.frame of predictor values to compute the systematic component based on.

Details

This function takes different model objects and knows how to treat the coefficient vector (or matrix) to obtain the systematic component.

Value

a matrix of n \times k, where k is equal to 1 for all but multi-categorical models. This matrix contains the systematic component values for the provided predictors.