Designed experiments have been used to secure orthogonal data in a typical light duty liquid detergent system. Regression analyses of the data have provided prediction equations relating composition to performance and physical properties for formulations in this system. The use of these equations in a nonlinear programming computer optimization program is described, illustrated by examples taken from a limited subsystem wherein two of the six components are held constant. Costs, types and uses of such optimization procedures are considered.
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