optimCrit: Optimization criteria functions

In matrixpls: Matrix-Based Partial Least Squares Estimation

Description

Optimization criterion functions calculate various optimization criterion values from matrixpls objects.

Usage

optimCrit.maximizeInnerR2(matrixpls.res)

optimCrit.maximizeIndicatorR2(matrixpls.res)

optimCrit.maximizeFullR2(matrixpls.res)

optimCrit.gsca(matrixpls.res)

Arguments

matrixpls.res

An object of class matrixpls from which the criterion function is calculated

Value

Value of the optimization criterion.

Functions

• optimCrit.maximizeInnerR2: maximizes the sum of R2 statistics of the inner matrix

• optimCrit.maximizeIndicatorR2: maximizes the sum of R2 statistics of the reflective matrix.

• optimCrit.maximizeFullR2: maximizes the sum of R2 statistics of the inner and reflective matrices.

• optimCrit.gsca: minimizes the generalized structured component analysis criterion. See GSCA

See Also

weightFun.optim

matrixpls documentation built on April 28, 2021, 5:07 p.m.