This innovative discussion of building empirical models and the fitting of surfaces to data, goes on to introduce the general philosophy of response surface methodology, and details least squares for response surface work. It provides factorial designs at two levels, fitting second-order models, adequacy of estimation and the use of transformation, occurrence and elucidation of ridge systems, and more. Some results are presented for the first time, and real-life exercises, nearly all with solutions, are also included.