![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| plspm-package | Tools for Partial Least Squares Path Modeling |
| 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 |
| rebus.pls | Response Based Unit Segmentation (REBUS) |
| rebus.test | Permutation Test for REBUS Multi-Group Comparison |
| res.clus | Cluster Analysis on communality and structural residuals of a PLS-PM object |
| rescale | Rescale Latent Variable Scores |
| russett | Russett dataset |
| satisfaction | Satisfaction dataset |
| simdata | Simulated data for REBUS with two groups |
| spainfoot | Spanish football dataset |
| technology | Technology data set |
| wines | Wines dataset |