"%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% April 14. 1999 This file contains two multivariate regression data sets from paper industry. They have been described and analysed in Aldrin, M. (1996), \"Moderate projection pursuit regression for multivariate response data\", Computational Statistics and Data Analysis, 21, p. 501-531. A short description is given above each data set. A more detailed description is found in Aldrin (1996). These data sets are delivered by Magne Aldrin, Norwegian Computing Center, P.O. Box 114 Blindern,N-0314 Oslo email: magne.aldrin@nr.no WWW: http://www.nr.no/~aldrin/ Permission is hereby given to Statlib to redistribute these data sets. They can be freely distributed and used for non-commercial purposes. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Data set from an experiment at the paper plant Norske Skog, Skogn, Norway. It were described and analysed in Aldrin (1996), and published there. It consists of 30 observations (rows) and 22 variables (colums), but all response variables are missing for the 28th observation. Columns 1 to 13 are response variables that describes various qualities of the paper. Columns 14 to 22 are 9 predictor variables. The first three predictor variables (x1 in column 14, x2 in column 15 and x3 in column 16) were varied systematically through the experiment, taking the values 1, 0 and -1. The next three predictor variables (columns 17 to 19) are constructed as x1**2, x2**2 and x3**2. The last three predictor variables (columns 20 to 22) are constructed as x1*x2, x1*x3 and x2*x3. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific " "0" "papir" 33.8792 33.8792 32.5419 32.5419 32.5419 30.7588 31.2046 31.6503 32.0961 32.5419 32.0961 32.5419 32.9877 32.9877 32.9877 32.5419 34.7708 34.325 34.325 33.8792 32.5419 32.5419 31.6503 31.2046 32.0961 32.5419 31.2046 32.5419 32.0961 30.0246 30.2804 31.7637 31.3545 31.508 32.8378 33.7585 32.3775 32.0706 31.7126 32.0706 31.4568 31.1499 31.508 31.4057 31.3545 29.1551 29.6666 29.9223 30.0246 31.6103 31.4568 32.5821 32.6844 31.7637 31.5591 32.3775 31.5591 31.5591 8.6891 8.3624 7.0558 7.4478 7.5785 5.5532 4.7039 7.0558 7.2518 7.9705 7.8398 7.4478 7.5131 7.6438 6.9905 7.1211 8.2318 8.2971 8.5584 8.4931 7.1211 6.7945 6.3372 6.4678 7.9051 7.6438 5.5532 5.8798 6.3372 9.6493 9.5133 7.8825 8.3582 8.4941 6.1157 6.3875 7.3389 7.6107 8.2223 7.4068 7.8145 8.4261 8.1543 7.9504 7.8825 9.0377 9.1736 9.4454 9.4454 7.8825 7.8825 7.135 7.0671 8.4261 7.8145 5.9798 7.2709 7.4748 15.2094 15.2094 15.2094 15.5262 15.2094 13.9419 12.9913 13.3082 13.9419 13.6251 12.9913 12.9913 15.2094 15.2094 14.5757 14.2588 16.4768 16.4768 15.2094 17.1106 14.2588 14.5757 14.2588 14.2588 14.5757 15.5262 14.2588 14.5757 13.9419 11.0984 12.2083 12.9482 11.4684 11.8383 11.4684 14.058 12.2083 12.9482 12.9482 12.2083 11.4684 11.8383 12.5782 11.0984 11.0984 12.2083 13.3181 13.6881 12.5782 13.6881 13.3181 13.6881 13.3181 14.058 13.6881 10.7285 11.8383 12.5782 11.5204 10.6563 9.8643 11.3764 10.8723 10.1523 7.7042 9.2163 9.1443 8.8563 8.8563 9.7203 10.8003 10.2963 10.9443 10.8723 11.2324 10.3683 9.3603 11.3044 8.6403 9.2163 8.6403 9.1443 8.9283 9.5763 10.9443 10.5123 9.1443 18.5718 20.2506 16.893 18.7816 19.2013 19.3062 19.2013 17.9422 18.7816 18.6767 17.1028 18.6767 18.9915 17.2077 17.1028 15.7388 17.3127 17.2077 18.257 18.8865 17.4176 18.8865 18.4668 20.0407 18.0471 19.8309 18.1521 18.0471 17.7324 22.788 25.1815 24.0346 24.4335 23.0872 22.2395 20.4943 21.4915 22.2894 21.2422 22.04 22.9376 22.5387 22.3392 21.3918 20.9929 22.6883 23.6856 23.6357 22.5387 21.7409 22.5387 22.439 22.6883 23.1869 23.4363 23.2867 22.0899 23.0373 17.7415 17.2866 15.0121 16.8317 17.7415 18.6514 20.0161 17.7415 17.2866 19.1063 16.8317 17.7415 18.1964 16.8317 17.2866 16.3768 16.3768 15.9219 16.8317 18.1964 17.2866 18.1964 17.7415 19.1063 16.8317 18.1964 16.8317 17.7415 16.8317 21.9271 21.9271 21.5845 21.4866 21.4376 21.4376 21.9271 23.1507 22.7591 22.4655 22.7102 22.7591 22.6613 22.6613 23.0039 23.0039 21.0461 20.9971 20.9971 20.4098 20.1161 20.1161 20.0672 20.3609 20.263 20.0183 20.9971 20.9971 20.8993 88.4072 87.1239 90.5461 91.259 91.5442 91.1164 91.6868 90.9739 90.1183 89.6905 90.8313 90.4035 88.9776 88.9776 88.6924 89.2627 90.1183 89.8331 90.5461 90.9739 89.8331 90.5461 90.2609 89.9757 90.1183 89.1202 90.9739 90.5461 89.5479 24.8111 23.3873 23.2093 24.206 23.9924 23.7788 23.7432 22.6397 22.0346 22.4261 25.9858 25.9858 23.9212 22.9601 23.1737 23.9212 23.494 24.2416 24.0636 24.2772 22.9245 23.7076 24.2772 23.1737 21.9634 22.9245 24.6331 25.4519 22.7821 1 1 0 0 0 0 -1 -1 -1 -1 0 0 0 0 1 1 1 1 0 0 0 0 -1 -1 -1 -1 0 1 1 0 0 1 1 0 0 0 0 -1 -1 -1 -1 0 0 -1 -1 0 0 -1 -1 0 0 1 1 0 0 1 1 1 -1 -1 -1 -1 0 0 1 1 0 0 1 1 0 0 0 0 1 1 -1 -1 0 0 0 0 -1 -1 1 0 0 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 1 1 0 0 0 0 1 1 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 -1 -1 0 0 0 0 0 0 -1 -1 0 0 0 1 1 -1 -1 0 0 0 0 -1 -1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 -1 -1 0 0 0 0 0 0 -1 -1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 "response_1" "response_2" "response_3" "response_4" "response_5" "response_6" "response_7" "response_8" "response_9" "response_10" "response_11" "response_12" "response_13" "x1" "x2" "x3" "x1**2" "x2**2" "x3**2" "x1*x2" "x2*x3" "x3*x2" "double0" "int1" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "nominal:-1,0,1" "nominal:-1,0,1" "nominal:-1,0,1" "nominal:0,1" "nominal:0,1" "nominal:0,1" "nominal:-1,0,1" "nominal:-1,0,1" "nominal:-1,0,1"