Beniamino Cappelletti-Montano Monica Musio Nicola Piras

Regression models for ordinal compositional data

We present a unified, transformation-free linear regression framework tailored for ordinal compositional data, such as distributions across educational levels or aggregate Likert-scale survey responses. Traditional log-ratio approaches often obscure interpretability, ignore the inherent ordering of categories, and stru...