File type = "ooTextFile" Object class = "Discriminant" numberOfEigenvalues = 3 dimension = 3 eigenvalues []: eigenvalues [1] = 21.13900155332588 eigenvalues [2] = 4.355295817120757 eigenvalues [3] = 0.6828853876561901 eigenvectors [] []: eigenvectors [1]: eigenvectors [1] [1] = -0.5095945937147207 eigenvectors [1] [2] = 0.8585858858717419 eigenvectors [1] [3] = -0.056068053636316735 eigenvectors [2]: eigenvectors [2] [1] = 0.8327148188826573 eigenvectors [2] [2] = 0.5085421803078853 eigenvectors [2] [3] = 0.21902255879458013 eigenvectors [3]: eigenvectors [3] [1] = -0.21656264791037227 eigenvectors [3] [2] = -0.06492401273441402 eigenvectors [3] [3] = 0.9741075362096885 numberOfGroups = 12 groups? size = 12 item []: item [1]: class = "SSCP" name = "\as" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 7.1833085796074 3.0973300339498984 -1.778956400510678 row [2]: "standardized log (%F__2_)" 3.0973300339498984 3.3039876126517393 -0.29125922448881625 row [3]: "standardized log (%F__3_)" -1.778956400510678 -0.29125922448881625 20.172428956740347 numberOfObservations = 50 centroid []: centroid [1] = 1.2736938484743832 centroid [2] = -0.7980324268009621 centroid [3] = 0.5220895358036678 item [2]: class = "SSCP" name = "\ct" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 4.74966673603357 1.7690171500295429 1.7501030793290941 row [2]: "standardized log (%F__2_)" 1.7690171500295429 2.86437294506022 -1.1734401148458038 row [3]: "standardized log (%F__3_)" 1.7501030793290941 -1.1734401148458038 23.404624379496475 numberOfObservations = 50 centroid []: centroid [1] = 0.4589868093363671 centroid [2] = -1.3517394277634003 centroid [3] = 0.7838758634621341 item [3]: class = "SSCP" name = "\ep" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 6.45619219629371 0.379683706446424 2.36347332352118 row [2]: "standardized log (%F__2_)" 0.379683706446424 3.5702296082868155 7.3635748850159315 row [3]: "standardized log (%F__3_)" 2.36347332352118 7.3635748850159315 36.64260597216438 numberOfObservations = 50 centroid []: centroid [1] = 0.796695878213569 centroid [2] = 0.6155709107830938 centroid [3] = -0.054943633520376844 item [4]: class = "SSCP" name = "\ic" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 9.244235715784095 -0.9820105168212977 -0.9152576701472442 row [2]: "standardized log (%F__2_)" -0.9820105168212977 3.2262490649322806 7.241190360568182 row [3]: "standardized log (%F__3_)" -0.9152576701472442 7.241190360568182 25.166342943866937 numberOfObservations = 50 centroid []: centroid [1] = -0.49244087467028463 centroid [2] = 1.0434578136051678 centroid [3] = 0.3408123049009498 item [5]: class = "SSCP" name = "\o/" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 5.190475238923345 0.7396990707845176 2.2127653907239027 row [2]: "standardized log (%F__2_)" 0.7396990707845176 2.4512575586423897 3.7246820649617605 row [3]: "standardized log (%F__3_)" 2.2127653907239027 3.7246820649617605 17.377966252491277 numberOfObservations = 50 centroid []: centroid [1] = -0.06611599614665901 centroid [2] = 0.21489702324228913 centroid [3] = -0.8937572629988408 item [6]: class = "SSCP" name = "\yc" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 6.078893644563736 0.22074613549497363 2.286551884697916 row [2]: "standardized log (%F__2_)" 0.22074613549497363 3.853359342917027 8.425393204522171 row [3]: "standardized log (%F__3_)" 2.286551884697916 8.425393204522171 29.326003094517013 numberOfObservations = 50 centroid []: centroid [1] = -0.10308759884807804 centroid [2] = 0.20958314569196473 centroid [3] = -0.518024953180044 item [7]: class = "SSCP" name = "a" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 7.005522628945998 2.090280751104148 1.5234216789426005 row [2]: "standardized log (%F__2_)" 2.090280751104148 3.107213048517132 2.619238367558207 row [3]: "standardized log (%F__3_)" 1.5234216789426005 2.619238367558207 28.064397805934117 numberOfObservations = 50 centroid []: centroid [1] = 1.766873453008115 centroid [2] = -0.18850368599908385 centroid [3] = 0.3137871302348877 item [8]: class = "SSCP" name = "e" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 8.484623546640918 0.1093890960686289 2.0246126475151707 row [2]: "standardized log (%F__2_)" 0.1093890960686289 2.6621911497906914 6.007252897802115 row [3]: "standardized log (%F__3_)" 2.0246126475151707 6.007252897802115 21.291223183115658 numberOfObservations = 50 centroid []: centroid [1] = -0.3393907223669106 centroid [2] = 1.0651938747025158 centroid [3] = 0.2780166917028312 item [9]: class = "SSCP" name = "i" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 8.081690218264786 0.6318778113546372 1.9790354205211995 row [2]: "standardized log (%F__2_)" 0.6318778113546372 2.400453182312953 5.524087378886765 row [3]: "standardized log (%F__3_)" 1.9790354205211995 5.524087378886765 24.658806925271662 numberOfObservations = 50 centroid []: centroid [1] = -1.3625596113923537 centroid [2] = 1.324168217255274 centroid [3] = 1.0457830819885658 item [10]: class = "SSCP" name = "o" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 3.5939776313049356 1.6702307126016387 -0.3792009934910652 row [2]: "standardized log (%F__2_)" 1.6702307126016387 3.9012822191233245 0.9504479893814077 row [3]: "standardized log (%F__3_)" -0.3792009934910652 0.9504479893814077 37.9311618767852 numberOfObservations = 50 centroid []: centroid [1] = 0.23540526426270175 centroid [2] = -1.2107919088306225 centroid [3] = -0.018039991648729478 item [11]: class = "SSCP" name = "u" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 8.90499995860324 1.0416292261007127 2.588462200258334 row [2]: "standardized log (%F__2_)" 1.0416292261007127 4.495561429410957 -0.2921211626145905 row [3]: "standardized log (%F__3_)" 2.588462200258334 -0.2921211626145905 37.14543437527775 numberOfObservations = 50 centroid []: centroid [1] = -0.913759763320551 centroid [2] = -1.548526013942444 centroid [3] = -0.6503310662476521 item [12]: class = "SSCP" name = "y" numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 9.905167008234274 0.6668046403405669 3.256505877716595 row [2]: "standardized log (%F__2_)" 0.6668046403405669 3.178145328787027 8.007415551311649 row [3]: "standardized log (%F__3_)" 3.256505877716595 8.007415551311649 43.4763710843399 numberOfObservations = 50 centroid []: centroid [1] = -1.254300686550502 centroid [2] = 0.6247224780561871 centroid [3] = -1.1492677004961254 total? numberOfColumns = 3 columnLabels []: "standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" numberOfRows = 3 row [1]: "standardized log (%F__1_)" 599.0000000000015 -180.9945547854731 116.52712787173058 row [2]: "standardized log (%F__2_)" -180.9945547854731 598.9999999999997 71.98818443063027 row [3]: "standardized log (%F__3_)" 116.52712787173058 71.98818443063027 598.999999999999 numberOfObservations = 600 centroid []: centroid [1] = -1.6514937565640745e-14 centroid [2] = -1.6405395560544397e-15 centroid [3] = 1.0549080127949158e-13 aprioriProbabilities []: aprioriProbabilities [1] = 0.08333333333333333 aprioriProbabilities [2] = 0.08333333333333333 aprioriProbabilities [3] = 0.08333333333333333 aprioriProbabilities [4] = 0.08333333333333333 aprioriProbabilities [5] = 0.08333333333333333 aprioriProbabilities [6] = 0.08333333333333333 aprioriProbabilities [7] = 0.08333333333333333 aprioriProbabilities [8] = 0.08333333333333333 aprioriProbabilities [9] = 0.08333333333333333 aprioriProbabilities [10] = 0.08333333333333333 aprioriProbabilities [11] = 0.08333333333333333 aprioriProbabilities [12] = 0.08333333333333333 costs [] []: costs [1]: costs [1] [1] = 0 costs [1] [2] = 1 costs [1] [3] = 1 costs [1] [4] = 1 costs [1] [5] = 1 costs [1] [6] = 1 costs [1] [7] = 1 costs [1] [8] = 1 costs [1] [9] = 1 costs [1] [10] = 1 costs [1] [11] = 1 costs [1] [12] = 1 costs [2]: costs [2] [1] = 1 costs [2] [2] = 0 costs [2] [3] = 1 costs [2] [4] = 1 costs [2] [5] = 1 costs [2] [6] = 1 costs [2] [7] = 1 costs [2] [8] = 1 costs [2] [9] = 1 costs [2] [10] = 1 costs [2] [11] = 1 costs [2] [12] = 1 costs [3]: costs [3] [1] = 1 costs [3] [2] = 1 costs [3] [3] = 0 costs [3] [4] = 1 costs [3] [5] = 1 costs [3] [6] = 1 costs [3] [7] = 1 costs [3] [8] = 1 costs [3] [9] = 1 costs [3] [10] = 1 costs [3] [11] = 1 costs [3] [12] = 1 costs [4]: costs [4] [1] = 1 costs [4] [2] = 1 costs [4] [3] = 1 costs [4] [4] = 0 costs [4] [5] = 1 costs [4] [6] = 1 costs [4] [7] = 1 costs [4] [8] = 1 costs [4] [9] = 1 costs [4] [10] = 1 costs [4] [11] = 1 costs [4] [12] = 1 costs [5]: costs [5] [1] = 1 costs [5] [2] = 1 costs [5] [3] = 1 costs [5] [4] = 1 costs [5] [5] = 0 costs [5] [6] = 1 costs [5] [7] = 1 costs [5] [8] = 1 costs [5] [9] = 1 costs [5] [10] = 1 costs [5] [11] = 1 costs [5] [12] = 1 costs [6]: costs [6] [1] = 1 costs [6] [2] = 1 costs [6] [3] = 1 costs [6] [4] = 1 costs [6] [5] = 1 costs [6] [6] = 0 costs [6] [7] = 1 costs [6] [8] = 1 costs [6] [9] = 1 costs [6] [10] = 1 costs [6] [11] = 1 costs [6] [12] = 1 costs [7]: costs [7] [1] = 1 costs [7] [2] = 1 costs [7] [3] = 1 costs [7] [4] = 1 costs [7] [5] = 1 costs [7] [6] = 1 costs [7] [7] = 0 costs [7] [8] = 1 costs [7] [9] = 1 costs [7] [10] = 1 costs [7] [11] = 1 costs [7] [12] = 1 costs [8]: costs [8] [1] = 1 costs [8] [2] = 1 costs [8] [3] = 1 costs [8] [4] = 1 costs [8] [5] = 1 costs [8] [6] = 1 costs [8] [7] = 1 costs [8] [8] = 0 costs [8] [9] = 1 costs [8] [10] = 1 costs [8] [11] = 1 costs [8] [12] = 1 costs [9]: costs [9] [1] = 1 costs [9] [2] = 1 costs [9] [3] = 1 costs [9] [4] = 1 costs [9] [5] = 1 costs [9] [6] = 1 costs [9] [7] = 1 costs [9] [8] = 1 costs [9] [9] = 0 costs [9] [10] = 1 costs [9] [11] = 1 costs [9] [12] = 1 costs [10]: costs [10] [1] = 1 costs [10] [2] = 1 costs [10] [3] = 1 costs [10] [4] = 1 costs [10] [5] = 1 costs [10] [6] = 1 costs [10] [7] = 1 costs [10] [8] = 1 costs [10] [9] = 1 costs [10] [10] = 0 costs [10] [11] = 1 costs [10] [12] = 1 costs [11]: costs [11] [1] = 1 costs [11] [2] = 1 costs [11] [3] = 1 costs [11] [4] = 1 costs [11] [5] = 1 costs [11] [6] = 1 costs [11] [7] = 1 costs [11] [8] = 1 costs [11] [9] = 1 costs [11] [10] = 1 costs [11] [11] = 0 costs [11] [12] = 1 costs [12]: costs [12] [1] = 1 costs [12] [2] = 1 costs [12] [3] = 1 costs [12] [4] = 1 costs [12] [5] = 1 costs [12] [6] = 1 costs [12] [7] = 1 costs [12] [8] = 1 costs [12] [9] = 1 costs [12] [10] = 1 costs [12] [11] = 1 costs [12] [12] = 0