get_PLSR_NA

an (already centered) vector of order n; <code>NA</code> not allowed

an (already centered) n x p matrix; <code>NA</code> allowed but
with at least one observation for every row and column

ncomp

Internal PLS regression with missing values

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.

get_PLSR_NA: Internal PLS regression with missing values

Description

Usage

Arguments

Details