predict.matrixpls: Predict method for matrixpls results

Description Usage Arguments Value References See Also

View source: R/matrixpls.predict.R


The matrixpls method for the generic function predict predict. Predicts the reflective indicators of endogenous latent variables using estimated model and data for the indicators of exogenous latent variables


## S3 method for class 'matrixpls'
predict(object, newData, predictionType = "exogenous",
  means = NULL, ...)



matrixpls estimation result object produced by the matrixpls function.


A data frame or a matrix containing data used for prediction.


"exogenous" (default) predicts indicators from exogenous composites. "redundancy" and "communality" are alternative strategies described by Chin (2010).


A vector of means of the original data used to calculate intercepts for the linear prediciton equations. If not provided, calculated from the new data or assumed zero.


All other arguments are ignored.


a matrix of predicted values for reflective indicators of endogenous latent variables.


Wold, H. (1974). Causal flows with latent variables: Partings of the ways in the light of NIPALS modelling. European Economic Review, 5(1), 67<e2><80><93>86. doi:10.1016/0014-2921(74)90008-7

Chin, W. W. (2010). How to write up and report PLS analyses. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares (pp. 655<e2><80><93>690). Berlin Heidelberg: Springer.

See Also

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

matrixpls documentation built on May 20, 2017, 4:47 a.m.
Search within the matrixpls package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at

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

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