check_specs

list defining the blocks of manifest variables

blocks

list with type of scaling for each manifest variable

scaling

character vector specifying the modes

modes

character string indicating the inner weighting scheme

scheme

should manifest variables be standardized

scaled

character indicating the inner weighting scheme

maxiter

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

Check specifications of PLS-PM algorithm

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_specs: Check specifications of PLS-PM algorithm

Description

Usage

Arguments

Value

Details