plspm-package | Package of Partial Least Squares (PLS) data analysis methods. |
arizona | Arizona vegetation dataset |
nipals | NIPALS: Non-linear Iterative Partial Least Squares |
orange | Orange Juice dataset |
plot.nipals | Plot NIPALS basic results |
plot.plsca | Plot PLSCA basic results |
plot.plspm.groups | Plot results from a group comparison test in PLS-PM |
plot.plsreg1 | Plot PLSR1 basic results |
plot.plsreg2 | Plot PLSR2 basic results |
plsca | PLS-CA: Partial Least Squares Canonical Analysis |
plspm | PLS-PM: Partial Least Squares Path Modeling |
plspm.groups | Group Comparison in PLS-PM |
plsreg1 | PLS-R1: Partial Least Squares Regression 1 |
plsreg2 | PLS-R2: Partial Least Squares Regression 2 |
print.nipals | Printing nipals obejcts |
print.plsca | Printing plsca objects |
print.plspm | Printing plspm objects |
print.plspm.groups | Printing plspm.groups objects |
print.plsreg1 | Printing plsreg1 objects |
print.plsreg2 | Printing plsreg2 objects |
print.summary.plspm | Printing summaries of plspm objects |
satisfaction | Satisfaction dataset |
summary.plspm | Summarizing partial least quares path modeling analysis |
vehicles | Vehicles dataset |
wines | Wines dataset |