Describes how the State University of New York, using large databases and regression techniques, has developed several coordinated, comprehensive efforts to evaluate and project current and future enrollments. One requires decomposition of the student population into mutually exclusive subgroups. The other, superior, approach uses logistic regression to calculate the probabilities of student success. (DB)