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

It provides an interesting solution for handling a high number
of segmentation variables in partial least squares structural equation
modeling. The package implements the "Pathmox" algorithm (Lamberti, Sanchez,
and Aluja,(2016)<doi:10.1002/asmb.2168>) including the F-coefficient
test (Lamberti, Sanchez, and Aluja,(2017)<doi:10.1002/asmb.2270>)
to detect the path coefficients responsible for the identified differences),
the hybrid multi-group approach (Lamberti (2021)
<doi:10.1007/s11135-021-01096-9>) and the classical multi-group
approaches (parametric and permutation approaches). The package also
includes an extension of the "Pathmox" algorithm to the case of
linear regression models.

check_specs: Check specifications of PLS-PM algorithm

Description

Usage

Arguments

Value

Details