Package: plspm 0.4.9

plspm: Tools for Partial Least Squares Path Modeling (PLS-PM)

Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis for latent class detection.

Authors:Gaston Sanchez [aut, cre], Laura Trinchera [aut], Giorgio Russolillo [aut]

# Install 'plspm' in R:

install.packages('plspm', repos = c('https://gastonstat.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated from:bd21cb1530. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	159
source / vignettes	OK	230
linux-release-x86_64	NOTE	150
macos-release-arm64	NOTE	147
macos-oldrel-arm64	NOTE	160
windows-devel	NOTE	106
windows-release	NOTE	86
windows-oldrel	NOTE	98
wasm-release	OK	123

Last update: 2015-08-28
Started: 2013-11-15

Help page	Topics
Cronbach's alpha	alpha
Arizona vegetation dataset	arizona
Cereals datset	cereals
College datasets	college
Futbol dataset from Spain-England-Italy	futbol
Plot inner model	innerplot
Iterative steps of Response-Based Unit Segmentation (REBUS)	it.reb
PLS-PM for global and local models	local.models
ECSI Mobile Phone Provider dataset	mobile
Offense dataset	offense
Orange Juice dataset	orange
Plot outer model	outerplot
Plots for PLS Path Models	plot.plspm
PLS-PM: Partial Least Squares Path Modeling	plspm-package plspm
Basic results for Partial Least Squares Path Modeling	plspm.fit
Two Groups Comparison in PLS-PM	plspm.groups
Quantification Plot	quantiplot
Response Based Unit Segmentation (REBUS)	rebus.pls
Permutation Test for REBUS Multi-Group Comparison	rebus.test
Clustering on communality and structural residuals	res.clus
Rescale Latent Variable Scores	rescale
Dillon-Goldstein's rho	rho
Russett A	russa
Russett B	russb
Russett dataset	russett
Satisfaction dataset	satisfaction
Simulated data for REBUS with two groups	simdata
Spanish football dataset	spainfoot
Technology data set	technology
Unidimensionality of blocks	unidim
Wines dataset	wines