Users of these methods often wish to explore how particular predictors affect the response. Such a decomposition, with the corresponding variance decomposition, also provides information on the importance of each predictor to the model, the importance of interactions, and the degree to which the model may be represented by first and second-order components.
Similar exploration can identify which input combinations are likely to crash the simulator.
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