We present a prediction method for ordinal partial least squares and ordinal 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.

Cantaluppi, G., Schuberth, F., A Prediction Method for Ordinal Consistent Partial Least Squares, in Arbia Giusepp, A. G., Peluso Stefan, P. S., Pini Alessi, P. A., Rivellini Giuli, R. G. (ed.), Smart Statistics for Smart Applications, Pearson, Milano 2019: 2019 725- 730 [http://hdl.handle.net/10807/142337]

A Prediction Method for Ordinal Consistent Partial Least Squares

Cantaluppi, Gabriele;
2019

Abstract

We present a prediction method for ordinal partial least squares and ordinal 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.
Inglese
Smart Statistics for Smart Applications
9788891915108
Pearson
2019
Cantaluppi, G., Schuberth, F., A Prediction Method for Ordinal Consistent Partial Least Squares, in Arbia Giusepp, A. G., Peluso Stefan, P. S., Pini Alessi, P. A., Rivellini Giuli, R. G. (ed.), Smart Statistics for Smart Applications, Pearson, Milano 2019: 2019 725- 730 [http://hdl.handle.net/10807/142337]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/142337
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