1. A machine-based method comprising receiving historical multi-dimensional data representing multiple source variables to be used as an input to a predictive model of a commercial system, applying transformations to the source variables that are selected to increase predictive power, and applying transformations to the data that are selected based on the strength of measurement represented by a variable.