Partial Least Squares data analysis methods

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Documentation for package ‘plspm’ version 0.1-4

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plspm-package Package of Partial Least Squares (PLS) data analysis methods.
arizona Arizona vegetation dataset
it.reb Response Based Unit Segmentation (REBUS) Algorithm - Iterative Steps
local.models Calculates PLS-PM for global and local models
mobile ECSI Mobile Phone Provider 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.local.models Printing local.models objects
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.rebus Printing rebus objects
print.rebus.test Printing rebus.test objects
print.summary.plspm Printing summaries of plspm objects
rebus.pls Response Based Unit Segmentation (REBUS) Algorithm - complete -
rebus.test Permutation Test for REBUS Multi-Group Comparison
res.clus Cluster Analysis on communality and structural residuals of a PLS-PM object
satisfaction Satisfaction dataset
sim.data Simulated data for REBUS with two groups
summary.plspm Summarizing partial least quares path modeling analysis
vehicles Vehicles dataset
wines Wines dataset