This data file is intended for use with the RSM with Categoric Factors tutorial. Procter and Gamble (P&G) engineers working on a new sealing process became concerned about how maximum peel strength would be affected by changing suppliers of packaging material (Brenneman, William A., and William R. Myers, “Robust Parameter Design with Categorical Noise Variables,” Journal of Quality Technology 35, no. 4 (October 2003): 335-341). They set up an RSM design to vary several key factors on the sealing machine, including the supplier: Temperature, 193 to 230 degrees C. Pressure, 2.2 to 3.2 Bar. Speed, 32 to 50 cpm (cycles per minute). Supplier: S1, S2, S3. Due to limitations of time and other resources, a maximum of 37 runs can be performed. Therefore, simply conducting a standard central composite design (CCD) or Box-Behnken design (BBD) for each of the three suppliers will not do – these design choices produce far too many runs (60 and 51, respectively). Instead, P&G engineers use a D-optimal design. The data come from a simulation loosely based on the predictive model reported in the cited article. (For tutorial purposes, some liberties are taken to make the procedural outcome more challenging.) Assume the maximum peel strength ideally hits a target of 4.5 pound-force (lbf). However, it must exceed 3 lbf to prevent leaking and not exceed 6 lbf because the package becomes too difficult to open. 35 35 72 72 72 72 72 0 0 0 0 0 1 -1 -1 0 0 0 0 0 1 -1 -1 230 2.2 50 S3 9.8 193 2.7 41 S2 2 202.25 2.7 41 S1 8.2 193 3.2 32 S1 6.6 230 3.2 32 S3 8 211.5 2.7 50 S3 6.2 193 2.2 50 S1 6.7 193 2.2 32 S1 4.6 230 2.7 41 S1 8.5 211.5 2.7 32 S2 2.9 193 3.2 50 S3 5.9 230 2.2 32 S1 10 211.5 3.2 41 S3 7.2 220.75 2.95 41 S2 3.7 230 2.2 32 S2 6.7 193 3.2 32 S1 7.2 230 2.7 50 S2 4 230 3.2 50 S3 4.8 230 3.2 32 S2 1.7 230 3.2 50 S1 7.8 230 3.2 32 S3 7.1 230 2.2 32 S2 5.1 220.75 2.45 36.5 S3 9.2 193 2.2 32 S3 6.7 230 2.2 50 S1 11 193 2.2 50 S2 2.4 193 3.2 50 S2 5.1 202.25 2.7 36.5 S3 8.1 211.5 2.2 41 S2 6.3 193 3.2 50 S2 4.8 230 2.2 50 S3 9.5 230 2.2 50 S1 11 230 3.2 32 S1 5.5 230 3.2 50 S1 7.1 230 2.7 50 S2 4.1 193 2.2 32 S3 6.7