Model implied covariance matrix based on matrixpls results

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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

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## 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, cr, effects.matrixpls, fitSummary, gof, htmt, loadings, predict.matrixpls, r2, residuals.matrixpls

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