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plspm  

Partial Least Squares Path Modeling (PLS-PM)
View on CRAN: Click here


Download and install plspm package within the R console
Install from CRAN:
install.packages("plspm")

Install from Github:
library("remotes")
install_github("cran/plspm")

Install by package version:
library("remotes")
install_version("plspm", "0.5.1")



Attach the package and use:
library("plspm")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-15
Latest Update: 2024-01-23
Description:
Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) , analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) .
How to cite:
Frederic Bertrand (2009). plspm: Partial Least Squares Path Modeling (PLS-PM). R package version 0.5.1, https://cran.r-project.org/web/packages/plspm
Previous versions and publish date:
0.1-0 (2009-04-15 10:29), 0.1-1 (2009-05-04 12:20), 0.1-2 (2009-05-10 20:55), 0.1-3 (2009-05-19 18:05), 0.1-4 (2009-07-21 14:29), 0.1-5 (2010-05-20 07:01), 0.1-6 (2010-06-29 14:30), 0.1-7 (2010-07-24 22:42), 0.1-8 (2010-07-26 23:02), 0.1-10 (2010-07-27 20:34), 0.1-11 (2010-08-10 16:17), 0.2-0 (2011-12-19 12:17), 0.2-1 (2012-01-03 09:19), 0.2-2 (2012-01-23 08:38), 0.3.1 (2012-11-13 08:03), 0.3.5 (2013-01-04 09:14), 0.3.7 (2013-01-29 07:41), 0.4.1 (2013-12-08 17:28), 0.4.2 (2015-02-20 06:11), 0.4.7 (2015-05-25 10:27), 0.4.8 (2017-04-21 16:57), 0.4.9 (2017-04-23 12:07), 0.5.0 (2023-03-13 12:20)
Other packages that cited plspm R package
View plspm citation profile
Other R packages that plspm depends, imports, suggests or enhances
Functions, R codes and Examples using the plspm R package
Some associated functions: alpha . arizona . cereals . check_args . check_blocks . check_boot . check_data . check_maxiter . check_model . check_modes . check_path . check_plscomp . check_scaling . check_scheme . check_specs . check_tol . college . dummy.G . futbol . get_GQI . get_PLSR . get_PLSR_NA . get_PLSRdoubleQ . get_alpha . get_ave . get_boot_stats . get_boots . get_data_scaled . get_dummies . get_dummy . get_effects . get_generals . get_gof . get_inner_summary . get_locals_test . get_manifests . get_metric . get_nom_scale . get_num_scale . get_numerics . get_ord_scale . get_path_scheme . get_paths . get_plsr1 . get_rank . get_rho . get_scores . get_treated_data . get_unidim . get_weights . get_weights_nonmetric . innerplot . is_missing . it.reb . local.models . mobile . normalize . offense . orange . outerplot . plot.plspm . plspm.fit . plspm.groups . plspm . quantiplot . rebus.pls . rebus.test . res.clus . rescale . rho . russa . russb . russett . satisfaction . simdata . spainfoot . technology . test_dataset . test_factors . test_manifest_scaling . test_null_weights . unidim . wines . 
Some associated R codes: auxiliar.R . check_arguments.R . check_specifications.R . get_GQI.R . get_PLSR.R . get_PLSR_NA.R . get_PLSRdoubleQ.R . get_alpha.R . get_ave.R . get_boots.R . get_dummies.R . get_effects.R . get_generals.R . get_gof.R . get_inner_summary.R . get_locals_test.R . get_manifests.R . get_metric.R . get_nom_scale.R . get_num_scale.R . get_ord_scale.R . get_path_scheme.R . get_paths.R . get_plsr1.R . get_rank.R . get_rho.R . get_scaled_data.R . get_scores.R . get_treated_data.R . get_unidim.R . get_weights.R . get_weights_nonmetric.R . innerplot.R . it.reb.R . local.models.R . outerplot.R . plot.plspm.R . plspm-package.R . plspm.R . plspm.fit.R . plspm.groups.R . print.rebus.R . quantiplot.R . rebus.pls.R . rebus.test.R . res.clus.R . rescale.R . russett-data.R . summary_plspm.R . test_dataset.R . test_factors.R . test_manifest_scaling.R . test_null_weights.R . unidimensionality.R .  Full plspm package functions and examples
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