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

In mronkko/matrixpls: Matrix-Based Partial Least Squares Estimation

Model implied covariance matrix based on matrixpls results

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()

mronkko/matrixpls documentation built on April 19, 2024, 4:23 p.m.