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.
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