The matrixpls method for the generic function ave computes Average Variance Extracted
indices for the model using the formula presented by Fornell and Larcker (1981).
ave(object, ...)matrixpls estimation result object produced by the matrixpls function.
All other arguments are ignored.
A list containing the Average Variance Extracted indices in the first position and the differences between aves and largest squared correlations with other composites in the second position.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39<U+2013>50.
Other post-estimation functions:
cei(),
cr(),
effects.matrixpls(),
fitSummary(),
fitted.matrixpls(),
gof(),
htmt(),
loadings(),
predict.matrixpls(),
r2(),
residuals.matrixpls()