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

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.

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

Description

Usage

Arguments

Value

Details