R: Partial Least Squares Path Modeling (PLS-PM)

# Partial Least Squares Path Modeling (PLS-PM)

## Documentation for package ‘plspm’ version 0.6.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

alpha | Cronbach's alpha
arizona | Arizona vegetation dataset
cereals | Cereals datset
college | College datasets
futbol | Futbol dataset from Spain-England-Italy
innerplot | Plot inner model
it.reb | Iterative steps of Response-Based Unit Segmentation (REBUS)
local.models | PLS-PM for global and local models
mobile | ECSI Mobile Phone Provider dataset
offense | Offense dataset
orange | Orange Juice dataset
outerplot | Plot outer model
plot.plspm | Plots for PLS Path Models
plspm | PLS-PM: Partial Least Squares Path Modeling
plspm.fit | Basic results for Partial Least Squares Path Modeling
plspm.groups | Two Groups Comparison in PLS-PM
quantiplot | Quantification Plot
rebus.pls | Response Based Unit Segmentation (REBUS)
rebus.test | Permutation Test for REBUS Multi-Group Comparison
res.clus | Clustering on communality and structural residuals
rescale | Rescale Latent Variable Scores
rho | Dillon-Goldstein's rho
russa | Russett A
russb | Russett B
russett | Russett dataset
satisfaction | Satisfaction dataset
simdata | Simulated data for REBUS with two groups
spainfoot | Spanish football dataset
technology | Technology data set
unidim | Unidimensionality of blocks
wines | Wines dataset