Partial Least Squares Path Modeling (PLS-PM)
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Documentation for package ‘plspm’ version 0.5.1
Help Pages
| 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 |