Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction

The repository contains the results of Schamberger et al. (2023). Schamberger, Tamara; Cantaluppi, Gabriele; Schuberth, Florian (2023). Revisiting and Extending PLS for Ordinal Measurement and Prediction. In Latan, Hengky; Hair, Joseph F.; Noonan, Richard (Eds.), Partial Least Squares Path Modeling – Basic Concepts, Methodological Issues and Applications (2nd edition), Springer Nature, 155-182. https://doi.org/10.1007/978-3-031-37772-3_6

Publication Details

Journal
Open Science Framework
Published
2024-09-01
DOI
https://doi.org/10.17605/osf.io/tmf2g
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction

Open Science Framework
Spectroscopy and Chemometric Analyses
article

Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction

article en

Abstract

The repository contains the results of Schamberger et al. (2023). Schamberger, Tamara; Cantaluppi, Gabriele; Schuberth, Florian (2023). Revisiting and Extending PLS for Ordinal Measurement and Prediction. In Latan, Hengky; Hair, Joseph F.; Noonan, Richard (Eds.), Partial Least Squares Path Modeling – Basic Concepts, Methodological Issues and Applications (2nd edition), Springer Nature, 155-182. https://doi.org/10.1007/978-3-031-37772-3_6

Open Science Framework
Openalex Percentile: Top 69%
Spectroscopy and Chemometric Analyses
DOIOpen Access PDFOpenAlex
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Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction · Open Science Framework (2024) | TGRS Research Map | TGRS