check_plscomp

optional vector indicating the number of PLS components
(for each block) to be used when handling non-metric data 
(only used if <code>scaling</code> is provided)

plscomp

list with type of scaling for each manifest variable

scaling

Check vector of PLS components (for non-metric plspm)

internal

Provides a very interesting solution for
handling segmentation variables in complex statistical methodology. It
contains en extended version of the "Pathmox" algorithm (Lamberti, Sanchez
and Aluja,(2016)<doi:10.1002/asmb.2168>) in the context of
Partial Least Squares Path Modeling including the F-block
test (to detect the responsible latent endogenous equations of the
difference), the F-coefficient (to detect the path coefficients responsible
of the difference) and the "invariance" test (to realize a comparison
between the sub-models' latent variables). Furthermore, the package
contains a generalized version of the "Pathmox" algorithm to approach
different methodologies: linear regression and least absolute regression
models.

check_plscomp: Check vector of PLS components (for non-metric plspm)

Description

Usage

Arguments

Value

Details