Fg.test.reg

vector of the concatenate indipendent latent variables of null hypothesis global test.

matrix of the concatenate predictor latent variables of null hypothesis global test.

vector of the concatenate indipendent latent variables of alternative hypothesis global test.

matrix of the concatenate predictor latent variables of alternative hypothesis global test.

method

Further arguments passed on to <code><a href="/link/Fg.test.reg?package=genpathmox&version=0.2" rd-options="" data-mini-rdoc="genpathmox::Fg.test.reg">Fg.test.reg</a></code>.

internal

genpathmox provides a very interesting solution for handling
    segmentation variables in complex statistical methodology. It contains en
    extended version of the PATHMOX algorithm in the context of partial least
    square path modeling (Sanchez, 2009) 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.

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Fg.test.reg: Global test for the regression model

Description

Usage

Arguments

Value

Details