predict.matrixpls

matrixpls estimation result object produced by the <code><a href="/link/matrixpls?package=matrixpls&version=0.4.0" rd-options="" data-mini-rdoc="matrixpls::matrixpls">matrixpls</a></code> function.

object

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

newdata

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

matrixpls is implements Partial Least Squares Path Modeling
    algorithm and related algorithms. The algorithm implementations aim for
    computational efficiency using matrix algebra and covariance data. The
    package is designed toward Monte Carlo simulations and includes functions
    to perform simple Monte Carlo simulations.

predict.matrixpls: Predict method for matrixpls results

Description

Usage

Arguments

Value

References

See Also