  Consider a regression or some regression-type model for a certain response
variable where the linear predictor includes an ordered factor among the
explanatory variables. The inclusion of a factor of this type can take place is
a few different ways, discussed in the pertaining literature. The present
contribution proposes a different way of tackling this problem, by constructing
a numeric variable in an alternative way with respect to the current
methodology. The proposed techniques appears to retain the data fitting
capability of the existing methodology, but with a simpler interpretation of
the model components.
