Regression models for limited continuous dependent variables having a
non-negligible probability of attaining exactly their limits are presented. The
models differ in the number of parameters and in their flexibility. It is shown
how to fit these models and they are applied to a Loss Given Default dataset
from insurance to which they provide a good fit.