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

Description Usage Arguments Value See Also


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.


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



matrixpls estimation result object produced by the matrixpls function.


All other arguments are ignored.


a matrix containing the model implied covariances.

See Also

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

Search within the matrixpls package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.