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plspm (version 0.1-2)

Partial Least Squares data analysis methods

Description

Partial Least Squares (PLS) methods with emphasis on structural equation models with latent variables.

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Version

Install

install.packages('plspm')

Monthly Downloads

3,181

Version

0.1-2

License

GPL (>= 2)

Maintainer

Gaston Sanchez

Last Published

May 10th, 2009

Functions in plspm (0.1-2)

plot.plsreg1

Plot PLSR1 basic results
print.plsreg2

Printing plsreg2 objects
plsreg1

PLS-R1: Partial Least Squares Regression 1
plsreg2

PLS-R2: Partial Least Squares Regression 2
arizona

Arizona vegetation dataset
satisfaction

Satisfaction dataset
vehicles

Vehicles dataset
orange

Orange Juice dataset
nipals

NIPALS: Non-linear Iterative Partial Least Squares
summary.plspm

Summarizing partial least quares path modeling analysis
plot.plsca

Plot PLSCA basic results
plspm.groups

Group Comparison in PLS-PM
print.summary.plspm

Printing summaries of plspm objects
plot.plsreg2

Plot PLSR2 basic results
plsca

PLS-CA: Partial Least Squares Canonical Analysis
print.plsca

Printing plsca objects
print.plspm

Printing plspm objects
plot.plspm.groups

Plot results from a group comparison test in PLS-PM
print.plsreg1

Printing plsreg1 objects
print.plspm.groups

Printing plspm.groups objects
plot.nipals

Plot NIPALS basic results
plspm

PLS-PM: Partial Least Squares Path Modeling
print.nipals

Printing nipals obejcts
plspm-package

Package of Partial Least Squares (PLS) data analysis methods.
wines

Wines dataset