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plspm (version 0.1-7)
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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Install
install.packages('plspm')
Monthly Downloads
3,046
Version
0.1-7
License
GPL (>= 2)
Maintainer
Gaston Sanchez
Last Published
July 24th, 2010
Functions in plspm (0.1-7)
Search all functions
orange
Orange Juice dataset
plot.plsreg1
Plot PLSR1 basic results
plspm-package
Package of Partial Least Squares (PLS) data analysis methods.
plot.plspm.groups
Plot results from a group comparison test in PLS-PM
futbol
Futbol dataset from Spain-England-Italy
local.models
Calculates PLS-PM for global and local models
plspm.groups
Group Comparison in PLS-PM
satisfaction
Satisfaction dataset
print.nipals
Printing nipals obejcts
plot.plsreg2
Plot PLSR2 basic results
print.plspm
Printing plspm objects
rebus.pls
Response Based Unit Segmentation (REBUS) Algorithm - complete -
print.local.models
Printing local.models objects
print.plsreg1
Printing plsreg1 objects
mobile
ECSI Mobile Phone Provider dataset
plsreg2
PLS-R2: Partial Least Squares Regression 2
rebus.test
Permutation Test for REBUS Multi-Group Comparison
spainfoot
Spanish football dataset
res.clus
Cluster Analysis on communality and structural residuals of a PLS-PM object
plsreg1
PLS-R1: Partial Least Squares Regression 1
resclus.plot
Colored dendrogram for communality and structural residuals according to the REBUS algorithm
plspm
PLS-PM: Partial Least Squares Path Modeling
vehicles
Vehicles dataset
print.summary.plspm
Printing summaries of plspm objects
it.reb
Response Based Unit Segmentation (REBUS) Algorithm - Iterative Steps
plot.plsca
Plot PLSCA basic results
print.plsca
Printing plsca objects
plot.plspm
Plot plspm path diagrams
print.plsreg2
Printing plsreg2 objects
summary.plspm
Summarizing partial least quares path modeling analysis
plsca
PLS-CA: Partial Least Squares Canonical Analysis
print.rebus.test
Printing rebus.test objects
print.rebus
Printing rebus objects
plspm-internal
Internal Design Functions
sim.data
Simulated data for REBUS with two groups
print.plspm.groups
Printing plspm.groups objects
arizona
Arizona vegetation dataset
plot.nipals
Plot NIPALS basic results
wines
Wines dataset
nipals
NIPALS: Non-linear Iterative Partial Least Squares