Fortran implementation output: ####################################################################### ############# file brainlog.mve (= sample output file) : ############ ####################################################################### Minimum Volume Ellipsoid Brain and weight data (January 8, 1990). Number of columns in data set: 2 In the analysis are 2: 1 1 Number of cases = 28 The subsamples contain 3 cases. Number of replications = 1500 The ellipsoids contain 15 cases. sscp matrix: 28.00000 45.86000 53.81450 45.86000 147.51672 124.05276 53.81450 124.05276 132.74396 Sample mean: 1 1.6379 2 1.9219 Sample covariance matrix: 2.68165 1.33008 1.33008 1.08575 Sample correlation matrix: 1.00000 .77949 .77949 1.00000 Number of singular subsamples was 0 The best subsample was: 2 22 1 Location of the best subsample: 1 1.5140 2 1.9260 Covariance matrix of the best subsample: 1.64901 1.14436 1.14436 .81316 Its inverse: 25.93647 -36.50029 -36.50029 52.59648 Median Mahalanobis distance (m2): 2.5592 Median covariance matrix (m2Cj): 4.22016 2.92866 2.92866 2.08105 Its inverse: 10.13456 -14.26233 -14.26233 20.55184 Correction factor c(n,p) = 1.577 Inflated Covariance matrix (C(X)): 7.57001 5.25334 5.25334 3.73293 Observations with weights computed with 97.50 percentage point: 7.3778 I W MD MD2 ROBMD ROBMD2 1 1 1.007 1.013 .539 .290 2 1 .695 .483 .539 .290 3 1 .301 .090 .404 .163 4 1 .381 .145 .626 .392 5 1 1.146 1.314 .737 .543 6 0 2.644 6.992 6.831 46.668 7 1 1.708 2.918 1.592 2.534 8 1 .707 .499 .639 .408 9 1 .858 .737 .476 .227 10 1 .799 .638 1.674 2.802 11 1 .686 .471 .689 .474 12 1 .874 .764 .495 .245 13 1 .678 .459 .517 .267 14 0 1.722 2.964 3.391 11.501 15 1 1.762 3.104 1.141 1.302 16 0 2.369 5.614 6.116 37.403 17 0 1.222 1.494 2.719 7.391 18 1 .203 .041 .672 .452 19 1 1.855 3.442 1.193 1.423 20 1 2.266 5.136 1.235 1.526 21 1 .831 .691 .467 .219 22 1 .416 .173 .539 .290 23 1 .264 .070 .288 .083 24 1 1.046 1.094 1.952 3.812 25 0 2.911 8.475 7.264 52.763 26 1 1.586 2.517 1.041 1.083 27 1 1.582 2.503 1.190 1.416 28 1 .395 .156 .747 .557 Number of points with non-zero weight: 23 Weighted mean: 1 1.3154 2 1.8569 Weighted covariance matrix: 2.13999 1.60686 1.60686 1.25204 Eigenvalues of weighted covariance matrix: 1 3.3630748970 1.8338688331 1.0000000000 2 .0289496354 .1701459239 10.7782119650 Weighted correlation matrix: 1.00000 .98166 .98166 1.00000 #######################################################################