ABSTRACT
The goal of the vast majority of experimentation is (or ought to be) to develop a model which adequately describes the system being studied. The model can then be used for whatever the intended objective is: optimization, troubleshooting, control, etc. The model is essentially a concise summary of all the data that was taken. The model smooths out the noise (variability) in the data, and it elucidates the underlying relationships between the factors and the response(s).
