fitSummary: Summary of model fit of PLS model

In matrixpls: Matrix-Based Partial Least Squares Estimation

Description

fitSummary computes a list of statistics that are commonly used to access the overall fit of the PLS model.

Usage

fitSummary(object, ...)

Arguments

object	matrixpls estimation result object produced by the matrixpls function.
...	All other arguments are ignored.

Value

A list containing a selection of fit indices.

See Also

Other post-estimation functions: ave(), cei(), cr(), effects.matrixpls(), fitted.matrixpls(), gof(), htmt(), loadings(), predict.matrixpls(), r2(), residuals.matrixpls()

matrixpls documentation built on April 28, 2021, 5:07 p.m.