Estimation of structural equation models with latent
variables by partial least squares approach.

Partial Least Squares data analysis methods
Partial Least Squares (PLS) methods with emphasis on
structural equation models with latent variables.

Partial Least Squares Data Analysis Methods
Gaston Sanchez <plspmr@gmail.com>, and Laura Trinchera
<laura.trinchera@supelec.fr>

Gaston Sanchez <gaston.sanchez@upc.edu>, and Laura Trinchera
<ltrinche@unina.it>

Partial Least Squares (PLS) methods with emphasis on structural equation models with latent variables.

Tools for Partial Least Squares Path Modeling
c(person("Gaston", "Sanchez", role=c("aut", "cre"), email =
"gaston.stat@gmail.com"), person("Laura", "Trinchera",
role=c("aut")))
plspm contains a set of functions for performing Partial
Least Squares Path Modeling (PLS-PM) analysis. This is a new
version that no longer supports other PLS methods such as
nipals, regresison, and canonical analysis. For the later
methods use the package plsdepot.
'plspm.R' 'plspm.fit.R' 'get_boots.R' 'get_effects.R'
'get_gof.R' 'get_loads.R' 'get_params.R' 'get_path_scheme.R'
'get_paths.R' 'get_plsr1.R' 'get_unidim.R' 'get_weights.R'
'print.plspm.R' 'innerplot.R' 'plot.plspm.R'
'print.summary.plspm.R' 'summary.plspm.R' 'plspm.groups.R'
'print.plspm.groups.R' 'outerplot.R' 'get_GQI.R'
'get_locals_test.R' 'it.reb.R' 'local.models.R'
'print.local.models.R' 'print.rebus.R' 'print.rebus.test.R'
'rebus.pls.R' 'rebus.test.R' 'res.clus.R'

'plspm.R' 'plspm.fit.R' 'get_boots.R' 'get_effects.R'
'get_gof.R' 'get_loads.R' 'get_params.R' 'get_path_scheme.R'
'get_paths.R' 'get_plsr1.R' 'get_unidim.R' 'get_weights.R'
'print.plspm.R' 'innerplot.R' 'plot.plspm.R'
'print.summary.plspm.R' 'summary.plspm.R' 'plspm.groups.R'
'print.plspm.groups.R' 'outerplot.R' 'get_GQI.R'
'get_locals_test.R' 'it.reb.R' 'local.models.R'
'print.local.models.R' 'print.rebus.R' 'print.rebus.test.R'
'rebus.pls.R' 'rebus.test.R' 'res.clus.R' 'rescale.R'

plspm contains a set of functions for performing Partial
Least Squares Path Modeling (PLS-PM) analysis. This is a new
version that no longer supports other PLS methods such as
nipals, regression, and canonical analysis. For the later
methods use the package plsdepot.