optimCrit

optimCrit.gsca

optimCrit.maximizeFullR2

optimCrit.maximizeIndicatorR2

optimCrit.maximizeInnerR2

An object of class <code>matrixpls</code> from which the
criterion function is calculated

matrixpls.res


Optimization criterion functions calculate various optimization criterion values
from <code>matrixpls</code> objects.


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 Rönkkö

matrixpls

Matrix-Based Partial Least Squares Estimation

optimCrit function

<ul>
<li> <code>optimCrit.maximizeInnerR2</code>: maximizes the sum of R2 statistics of the <code>inner</code> matrix </li>
<li> <code>optimCrit.maximizeIndicatorR2</code>: maximizes the sum of R2 statistics of the <code>reflective</code> matrix. </li>
<li> <code>optimCrit.maximizeFullR2</code>: maximizes the sum of R2 statistics of the <code>inner</code> and <code>reflective</code> matrices. </li>
<li> <code>optimCrit.gsca</code>: minimies the generalized structured component analysis criterion. See <a rd-options="" href="/link/GSCA?package=matrixpls&version=1.0.4" data-mini-rdoc="matrixpls::GSCA">GSCA</a>
</li>
</ul>

optimCrit: Optimization criteria functions

Description

Usage

Arguments

Value

Functions

See Also