FEADO 6.2: D-optimal designs Program (c) 2010 Design Computing (designcomputing.net/) Note: Best design for m=6, p=28, and n=28. try # 430 seed 1403136681 # of iterations 12 det 1.4174241E31 det* 0.46280232 det^(-1) 7.0550516E-32 det^(-1/p) 0.077169634 trace V 5.6854186 vmax 2.0792 vbar 1.3692 G-eff 48.09% Design points (and prediction variance): -1 -1 -1 -1 1 0 (1.0) -1 -1 -1 1 -1 -1 (1.0) -1 -1 0 -1 -1 1 (1.0) -1 -1 0 1 1 1 (1.0) -1 -1 1 0 1 -1 (1.0) -1 -1 1 1 -1 1 (1.0) -1 0 -1 0 0 1 (1.0) -1 0 1 -1 -1 -1 (1.0) -1 1 -1 -1 -1 0 (1.0) -1 1 -1 -1 1 -1 (1.0) -1 1 -1 1 1 0 (1.0) -1 1 0 1 -1 1 (1.0) -1 1 1 -1 1 1 (1.0) -1 1 1 1 0 -1 (1.0) 0 -1 1 -1 0 -1 (1.0) 0 0 1 1 1 -1 (1.0) 0 1 1 0 -1 -1 (1.0) 1 -1 -1 -1 -1 -1 (1.0) 1 -1 -1 1 -1 1 (1.0) 1 -1 -1 1 1 -1 (1.0) 1 -1 1 -1 1 1 (1.0) 1 -1 1 1 -1 -1 (1.0) 1 0 0 0 0 0 (1.0) 1 1 -1 -1 1 1 (1.0) 1 1 -1 1 -1 -1 (1.0) 1 1 1 -1 -1 1 (1.0) 1 1 1 -1 1 -1 (1.0) 1 1 1 1 1 1 (1.0) X'X 28 25 24 24 24 24 24 -3 0 2 -0 -0 -2 0 1 0 0 -1 1 -2 2 1 -1 1 -1 -2 -1 1 25 22 21 22 22 21 -3 -0 -1 -0 -0 1 0 1 0 0 -1 1 -3 3 1 -1 1 2 -3 -1 1 24 21 22 22 21 -2 0 1 -0 -0 -1 0 1 -1 -1 -1 1 -2 2 1 -1 1 2 -4 -1 1 24 21 21 21 -1 1 2 -1 1 -5 -1 1 1 -1 2 1 -3 3 2 -1 1 -1 -3 -2 2 24 22 21 -2 0 1 -0 -0 -1 -1 1 0 1 -1 1 -2 4 1 -1 1 2 -2 -1 1 24 21 -2 0 1 -0 -0 -1 1 1 1 0 -1 1 -4 2 1 -1 1 2 -2 -1 1 24 -1 -1 5 1 -1 -2 1 -2 -1 1 -1 2 -3 3 1 -2 2 -1 -3 -1 1 25 0 1 0 -0 -1 0 -1 -0 -0 1 3 -1 1 3 -3 3 2 -1 -3 3 24 1 -2 2 1 -2 3 -1 1 3 1 0 -0 -1 1 -1 -0 0 -1 1 24 -1 1 -1 3 -1 -3 3 2 1 1 -1 0 -1 1 -5 1 0 -0 24 -2 -1 -1 -3 -2 -1 -3 1 0 -0 -1 1 1 -0 0 -1 -1 24 1 1 3 -1 -2 3 -1 -0 0 1 1 1 -0 0 -1 -1 24 3 2 -3 3 -1 -0 -1 1 -1 0 0 5 -1 1 -1 22 1 -3 3 1 1 -1 -1 -1 -0 -0 0 -0 -0 0 21 -1 1 2 -1 -0 -0 -0 1 -1 2 -0 -0 -0 22 -3 -1 0 -1 0 -0 1 -0 0 1 -1 0 22 1 -0 0 1 0 -0 1 -0 1 0 -1 21 0 -0 0 1 -0 0 -2 0 -1 1 21 -1 1 2 -3 3 2 3 0 -0 22 -4 -1 1 3 0 4 1 3 22 1 3 1 -0 -4 3 1 21 0 -0 2 3 -3 3 21 -3 -2 1 2 0 21 2 -1 -0 2 21 0 -2 2 22 1 -1 21 -3 21 inverse(X'X) 1.5117 -0.604 -0.1228 -0.3644 -0.1228 -0.1228 -0.3644 0.0216 -0 -0.0029 -0 0 0.0029 -0 -0.0596 -0 -0 0.0596 0.008 -0.0649 0.0649 0.008 -0.008 0.008 0.1333 -0.0649 -0.008 0.008 0.5913 -0.0178 0.0697 -0.0178 -0.0178 0.0697 0.008 0 0.0429 0 -0 -0.0429 0 0.0196 0 -0 -0.0196 -0.0036 0.0257 -0.0257 -0.0036 0.0036 -0.0036 -0.0553 0.0257 0.0036 -0.0036 0.4823 -0.0292 -0.1316 -0.1316 -0.0292 -0.0009 -0 0.0022 0.0045 0.0045 -0.0022 0 -0.0022 0.0296 0.0296 0.0022 -0.0072 -0.0198 0.0198 -0.0072 -0.0091 0.0043 -0.0274 0.0497 -0.0043 0.0091 0.4877 -0.0292 -0.0292 -0.0401 -0.0119 -0.0139 0.0046 0.0139 -0.0139 0.0579 0.0139 -0.0046 -0.0139 0.0139 -0.0579 -0.0002 0.0215 -0.0215 -0.0141 0.0002 -0.0002 -0.0069 0.0215 0.0141 -0.0141 0.4823 -0.1316 -0.0292 -0.0009 0.0045 0.0022 -0 -0.0045 -0.0022 0.0296 -0.0022 -0 -0.0296 0.0022 0.0043 -0.0198 -0.0497 0.0091 0.0072 0.0091 -0.0274 -0.0198 0.0072 0.0043 0.4823 -0.0292 -0.0009 -0.0045 0.0022 -0.0045 0 -0.0022 -0.0296 -0.0022 -0.0296 -0 0.0022 0.0091 0.0497 0.0198 0.0043 -0.0043 -0.0072 -0.0274 -0.0198 -0.0091 -0.0072 0.4877 -0.0119 0.0139 -0.0579 -0.0139 0.0139 -0.0046 -0.0139 0.0579 0.0139 -0.0139 0.0046 -0.0141 0.0215 -0.0215 -0.0002 0.0141 -0.0141 -0.0069 0.0215 0.0002 -0.0002 0.0459 -0 0 -0 0 -0 0 -0 -0 -0 0 -0.0043 0.0014 -0.0014 -0.0043 0.0043 -0.0043 -0.0025 0.0014 0.0043 -0.0043 0.0458 -0.0035 0.0021 -0.0021 -0.0035 0.006 -0.0035 0.003 -0.003 -0.0035 -0.0044 -0 -0 0.0044 -0.0022 0.0022 -0 0 0.0022 -0.0022 0.0588 0.0035 -0.0035 -0.0033 -0.0035 -0.0033 0.0035 -0.0035 -0.0037 -0.0003 -0.0027 0.0027 -0.0003 0.0003 -0.0003 0.0076 -0.0027 0.0003 -0.0003 0.0458 0.0021 0.0035 0.003 0.0035 0.006 0.003 0.0035 -0.0022 -0 0 0.0022 -0.0044 -0.0022 -0 0 0.0044 0.0022 0.0458 -0.0035 -0.003 -0.0035 0.003 0.006 -0.0035 0.0022 0 -0 -0.0022 -0.0022 -0.0044 0 -0 0.0022 0.0044 0.0588 -0.0035 -0.0037 0.0035 -0.0035 -0.0033 0.0003 0.0027 -0.0027 0.0003 -0.0003 0.0003 -0.0076 0.0027 -0.0003 0.0003 0.0534 -0.0035 0.0059 -0.0059 -0.0035 -0.0032 0 0 0.0032 -0.0016 0.0016 -0 0 0.0016 -0.0016 0.0588 0.0035 -0.0035 -0.0033 0.0003 0.0027 -0.0027 0.0003 -0.0003 0.0003 -0.0076 0.0027 -0.0003 0.0003 0.0534 0.0059 0.0035 -0.0016 -0 -0 0.0016 -0.0032 -0.0016 -0 0 0.0032 0.0016 0.0534 -0.0035 0.0016 -0 -0 -0.0016 -0.0016 -0.0032 -0 0 0.0016 0.0032 0.0588 -0.0003 -0.0027 0.0027 -0.0003 0.0003 -0.0003 0.0076 -0.0027 0.0003 -0.0003 0.054 0.0033 -0.0033 -0.0031 0.0062 -0.0062 -0.0043 -0.0106 -0.0015 0.0015 0.0612 0.0083 0.0033 -0.0033 -0.0106 -0.0056 -0.0083 -0.0033 -0.0106 0.0612 -0.0033 -0.0106 -0.0033 0.0056 0.0083 -0.0106 -0.0033 0.054 -0.0015 0.0015 -0.0043 -0.0106 0.0062 -0.0062 0.054 0.0062 0.0043 -0.0033 -0.0031 -0.0015 0.054 -0.0043 0.0033 -0.0015 -0.0031 0.0742 -0.0056 0.0043 -0.0043 0.0612 -0.0033 0.0033 0.054 0.0062 0.054 Note: vmax and vbar are maximum and average prediction variances over candidate points. Note: FEADO used 33.509 seconds.
