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 |