The optimization of energy efficient housing is a highly complex problem involving hundreds of parameters due to the many options that exist at the time that a building is being designed. To perform the optimization in an acceptable time frame, singular value decomposition is used to reduce the number of design variables by identifying those that contribute most strongly to the optimization problem. A case study of residential buildings in six separate locations across the U.S. is performed and the results are discussed.