PLS: Stata module to calculate composite variables using the partial least squares path modeling (PLS) algorithm

Mikko Rönkkö ()
Additional contact information
Mikko Rönkkö: Institute of Strategy and Venturing, Aalto University

Statistical Software Components from Boston College Department of Economics

Abstract: pls calculates composite variables using the partial least squares path modeling (PLS) algorithm. The composites are calculated as weighted combinations of existing variables using the weight algorithm introduced by Wold (see Wold (1982)). The composites produced by pls are identical to the composites produced by commercial PLS software as well as the open source matrixpls R package except for small numerical differences due to different convergence criterion.

Language: Stata
Requires: Stata version 10
Keywords: partial least squares; composite variables; Wold (search for similar items in EconPapers)
Date: 2015-11-01, Revised 2016-05-31
Note: This module should be installed from within Stata by typing "ssc install pls". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/pls.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/pls.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/ecsimobi.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458107

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().