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 matrixpls
fitted(object, ...)matrixpls estimation result object produced by the matrixpls function.
All other arguments are ignored.
a matrix containing the model implied covariances.
Other post-estimation functions:
ave(),
cei(),
cr(),
effects.matrixpls(),
fitSummary(),
gof(),
htmt(),
loadings(),
predict.matrixpls(),
r2(),
residuals.matrixpls()