| plspm-package | PLS-PM: Partial Least Squares Path Modeling | 
| 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 |