In the context of regression-type statistical models, the inclusion of some ordered factors among the explanatory variables requires the conversion of qualitative levels to numeric components of the linear predictor. The present note represent a follow-up of a methodology proposed by Azzalini (2023} for constructing numeric scores assigned to the factors levels. The aim of the present supplement it to allow additional flexibility of the mapping from ordered levels and numeric scores.

翻译：在回归类统计模型中，当解释变量包含有序因子时，需要将定性水平转换为线性预测器的数值分量。本文是对Azzalini（2023）提出的因子水平数值评分构建方法的后续研究。本补充旨在增强从有序水平到数值评分映射的灵活性。