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- Demonstrates how the new approach (RMM) differs from current approaches in that both the structure of the model and its parameters are determined via data-driven procedures - Demonstrates that a single comprehensive methodology may provide a good platform for empirical modeling of both systematic variation (relational modeling) and random variation (variation that is captured by a statistical distribution with stable parameters) - Provides handy procedures to apply to the new methodology, accompanied by detailed numerical examples for the implementation of these procedures