fitSummary

matrixpls estimation result object produced by the <code><a rd-options="" href="/link/matrixpls?package=matrixpls&version=1.0.11" data-mini-rdoc="matrixpls::matrixpls">matrixpls</a></code> function.

object

<code>fitSummary</code> computes a list of statistics
that are commonly used to access the overall fit of the PLS model.

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.

Mikko R<c3><b6>nkk<c3><b6>

matrixpls

Matrix-Based Partial Least Squares Estimation

fitSummary function

matrixpls estimation result object produced by the <code><a rd-options='' href='matrixpls'>matrixpls</a></code> function.

fitSummary: Summary of model fit of PLS model

Description

Usage

Arguments

Value

See Also