A prediction method for ordinal consistent partial least squares

Gabriele Cantaluppi, Florian Schuberth

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Abstract

We present a prediction method for ordinal partial least squares and or-
dinal consistent partial least squares. Both are variance-based estimators similar to
partial least squares path modeling and consistent partial least squares, but take into
account the non-metric scale of ordinal categorical indicators.
Original languageEnglish
Title of host publicationSmart Statistics for Smart Applications
Subtitle of host publicationBook of Short Papers SIS2019
EditorsGiuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini
PublisherPearson
Pages725-730
Number of pages6
ISBN (Print)9788891915108
Publication statusPublished - 2019
EventSmart Statistics for Smart Applications 2019 - Università Cattolica del Sacro Cuore, Milano, Italy
Duration: 19 Jun 201921 Jun 2019
http://meetings3.sis-statistica.org/index.php/SIS2019/sis2019/

Conference

ConferenceSmart Statistics for Smart Applications 2019
Abbreviated titleSIS 2019
Country/TerritoryItaly
CityMilano
Period19/06/1921/06/19
Internet address

Keywords

  • 2024 OA procedure

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