This report paper offers the reader an outline of the development of a MLR model to predict fuel consumption for double-stack intermodal trains in Canada. Results suggested the necessity to classify the data in a non-finished project and design categories for various factors. Furthermore, the conclusion extracted is the requirement to compose small-scale models for specific conditions of track and train in order to obtain the results for an entire railroad section. Whereas the lack of success on the original goal of this research, which was to predict fuel consumption for intermodal trains in any random configuration under any condition of railroad track, the scope of the project was shortened to a very specific piece of section of the Canadian railway network for trains that travel full power. This was as a result of complications disclosed during the development of the project and troubles discerning the vast data