  We derive an objective function that can be optimized to give an estimator of
the Vapnik- Chervonenkis dimension for model selection in regression problems.
We verify our estimator is consistent. Then, we verify it performs well
compared to seven other model selection techniques. We do this for a variety of
types of data sets.
