fitted.matrixpls: Model implied covariance matrix based on matrixpls results

In matrixpls: Matrix-Based Partial Least Squares Estimation

Description

The matrixpls method for generic function fitted computes the model implied covariance matrix by combining inner, reflective, and formative as a simultaneous equations system. The error terms are constrained to be uncorrelated and covariances between exogenous variables are fixed at their sample values. Defining a composite as dependent variable in both inner and formative creates an impossible model and results in an error.

Usage

## S3 method for class 'matrixpls'
fitted(object, ...)

Arguments

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

Value

a matrix containing the model implied covariances.

See Also

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

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