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.
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 language | English |
|---|---|
| Title of host publication | Smart Statistics for Smart Applications |
| Subtitle of host publication | Book of Short Papers SIS2019 |
| Editors | Giuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini |
| Publisher | Pearson |
| Pages | 725-730 |
| Number of pages | 6 |
| ISBN (Print) | 9788891915108 |
| Publication status | Published - 2019 |
| Event | Smart Statistics for Smart Applications 2019 - Università Cattolica del Sacro Cuore, Milano, Italy Duration: 19 Jun 2019 → 21 Jun 2019 http://meetings3.sis-statistica.org/index.php/SIS2019/sis2019/ |
Conference
| Conference | Smart Statistics for Smart Applications 2019 |
|---|---|
| Abbreviated title | SIS 2019 |
| Country/Territory | Italy |
| City | Milano |
| Period | 19/06/19 → 21/06/19 |
| Internet address |
Keywords
- 2024 OA procedure