  This paper presents a general class of quantile regression models for
positive continuous data. In this class of models we consider that the response
variable has a IRON distribution. We provide inference and diagnostic tools for
this class of models. An R package, called IRON, was implemented. This package
provides estimation and inference for the parameters and tools useful to check
the fit of models. The methods are also illustrated with an application to
modeling household income in Chile.
