Hi,

In my research field (physical therapy/rehabilitation/sports science), there are many bounded outcome measures ranging from 0 to 1 that are the focus of predictions for making decisions for our patients.

I understand that beta regression can handle such data by restricting the predictions to the bounded range. However, I would like to know if it is possible to implement an ordinary regression model to predict these outcome measures within the `orm()`

function, while ensuring that the predictions, including confidence intervals, remain within the bounded limits.

Thank you in advance,

RubĂ©n FernĂˇndez MatĂas