outer.factor

Weight matrix, where the indicators are on colums and composites are on the rows.

Inner weight matrix. A square matrix of inner estimates between the composites.

A matrix specifying the weight relationships and their starting values.

W.mod

factoring method for estimating the common factor model. Possible values are
<code>minres</code>, <code>wls</code>, <code>gls</code>, <code>pa</code>, and <code>ml</code>. The parameter is passed through to
to <code><a href="/link/fa?package=matrixpls&version=0.5.0&to=psych" rd-options="psych" data-mini-rdoc="psych::fa">fa</a><</code>

Calculates outer weights by estimating a common factor analysis model with a single factor for each
indicator block and using the resulting estimates to calculate factor score weights

matrixpls is implements Partial Least Squares Path Modeling
    algorithm and related algorithms. The algorithm implementations aim for
    computational efficiency using matrix algebra and covariance data. The
    package is designed toward Monte Carlo simulations and includes functions
    to perform simple Monte Carlo simulations.

outer.factor: Blockwise factor score outer estimation

Description

Usage

Arguments

Value

See Also