Partial Least Squares data analysis methods

Documentation for package ‘plspm’ version 0.1-3

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