1File type = "ooTextFile" 2Object class = "Discriminant 1" 3 4eigen? <exists> 5numberOfEigenvalues = 3 6dimension = 3 7eigenvalues []: 8 eigenvalues [1] = 21.139001553325855 9 eigenvalues [2] = 4.355295817120757 10 eigenvalues [3] = 0.6828853876561901 11eigenvectors [] []: 12 eigenvectors [1]: 13 eigenvectors [1] [1] = -0.5095945937147198 14 eigenvectors [1] [2] = 0.8585858858717426 15 eigenvectors [1] [3] = -0.056068053636316804 16 eigenvectors [2]: 17 eigenvectors [2] [1] = 0.8327148188826579 18 eigenvectors [2] [2] = 0.5085421803078848 19 eigenvectors [2] [3] = 0.21902255879458066 20 eigenvectors [3]: 21 eigenvectors [3] [1] = -0.21656264791037275 22 eigenvectors [3] [2] = -0.06492401273441407 23 eigenvectors [3] [3] = 0.9741075362096886 24numberOfGroups = 12 25groups? <exists> 26size = 12 27item []: 28 item [1]: 29 class = "SSCP" 30 name = "\as" 31 numberOfColumns = 3 32columnLabels []: 33"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 34 numberOfRows = 3 35row [1]: "standardized log (%F__1_)" 7.18330857960738 3.097330033949894 -1.7789564005106775 36row [2]: "standardized log (%F__2_)" 3.097330033949894 3.303987612651738 -0.29125922448881675 37row [3]: "standardized log (%F__3_)" -1.7789564005106775 -0.29125922448881675 20.17242895674037 38 numberOfObservations = 50 39 centroid []: 40 centroid [1] = 1.2736938484743978 41 centroid [2] = -0.7980324268009589 42 centroid [3] = 0.52208953580356 43 item [2]: 44 class = "SSCP" 45 name = "\ct" 46 numberOfColumns = 3 47columnLabels []: 48"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 49 numberOfRows = 3 50row [1]: "standardized log (%F__1_)" 4.749666736033554 1.7690171500295402 1.7501030793290935 51row [2]: "standardized log (%F__2_)" 1.7690171500295402 2.8643729450602207 -1.1734401148458047 52row [3]: "standardized log (%F__3_)" 1.7501030793290935 -1.1734401148458047 23.40462437949652 53 numberOfObservations = 50 54 centroid []: 55 centroid [1] = 0.4589868093363824 56 centroid [2] = -1.351739427763397 57 centroid [3] = 0.7838758634620263 58 item [3]: 59 class = "SSCP" 60 name = "\ep" 61 numberOfColumns = 3 62columnLabels []: 63"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 64 numberOfRows = 3 65row [1]: "standardized log (%F__1_)" 6.456192196293692 0.37968370644642313 2.3634733235211782 66row [2]: "standardized log (%F__2_)" 0.37968370644642313 3.5702296082868155 7.363574885015937 67row [3]: "standardized log (%F__3_)" 2.3634733235211782 7.363574885015937 36.64260597216446 68 numberOfObservations = 50 69 centroid []: 70 centroid [1] = 0.7966958782135842 71 centroid [2] = 0.6155709107830968 72 centroid [3] = -0.05494363352048529 73 item [4]: 74 class = "SSCP" 75 name = "\ic" 76 numberOfColumns = 3 77columnLabels []: 78"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 79 numberOfRows = 3 80row [1]: "standardized log (%F__1_)" 9.24423571578407 -0.9820105168212969 -0.9152576701472434 81row [2]: "standardized log (%F__2_)" -0.9820105168212969 3.226249064932281 7.241190360568189 82row [3]: "standardized log (%F__3_)" -0.9152576701472434 7.241190360568189 25.166342943866987 83 numberOfObservations = 50 84 centroid []: 85 centroid [1] = -0.4924408746702678 86 centroid [2] = 1.0434578136051709 87 centroid [3] = 0.3408123049008417 88 item [5]: 89 class = "SSCP" 90 name = "\o/" 91 numberOfColumns = 3 92columnLabels []: 93"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 94 numberOfRows = 3 95row [1]: "standardized log (%F__1_)" 5.190475238923332 0.7396990707845167 2.2127653907239013 96row [2]: "standardized log (%F__2_)" 0.7396990707845167 2.451257558642389 3.724682064961762 97row [3]: "standardized log (%F__3_)" 2.2127653907239013 3.724682064961762 17.377966252491305 98 numberOfObservations = 50 99 centroid []: 100 centroid [1] = -0.06611599614664286 101 centroid [2] = 0.21489702324229196 102 centroid [3] = -0.8937572629989501 103 item [6]: 104 class = "SSCP" 105 name = "\yc" 106 numberOfColumns = 3 107columnLabels []: 108"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 109 numberOfRows = 3 110row [1]: "standardized log (%F__1_)" 6.078893644563719 0.22074613549497368 2.2865518846979147 111row [2]: "standardized log (%F__2_)" 0.22074613549497368 3.853359342917027 8.425393204522178 112row [3]: "standardized log (%F__3_)" 2.2865518846979147 8.425393204522178 29.326003094517056 113 numberOfObservations = 50 114 centroid []: 115 centroid [1] = -0.10308759884806179 116 centroid [2] = 0.20958314569196762 117 centroid [3] = -0.5180249531801528 118 item [7]: 119 class = "SSCP" 120 name = "a" 121 numberOfColumns = 3 122columnLabels []: 123"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 124 numberOfRows = 3 125row [1]: "standardized log (%F__1_)" 7.005522628945976 2.090280751104145 1.5234216789425978 126row [2]: "standardized log (%F__2_)" 2.090280751104145 3.107213048517132 2.6192383675582107 127row [3]: "standardized log (%F__3_)" 1.5234216789425978 2.6192383675582107 28.064397805934156 128 numberOfObservations = 50 129 centroid []: 130 centroid [1] = 1.766873453008129 131 centroid [2] = -0.1885036859990809 132 centroid [3] = 0.3137871302347796 133 item [8]: 134 class = "SSCP" 135 name = "e" 136 numberOfColumns = 3 137columnLabels []: 138"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 139 numberOfRows = 3 140row [1]: "standardized log (%F__1_)" 8.484623546640897 0.10938909606862843 2.0246126475151693 141row [2]: "standardized log (%F__2_)" 0.10938909606862843 2.662191149790692 6.007252897802119 142row [3]: "standardized log (%F__3_)" 2.0246126475151693 6.007252897802119 21.29122318311569 143 numberOfObservations = 50 144 centroid []: 145 centroid [1] = -0.33939072236689405 146 centroid [2] = 1.065193874702519 147 centroid [3] = 0.278016691702723 148 item [9]: 149 class = "SSCP" 150 name = "i" 151 numberOfColumns = 3 152columnLabels []: 153"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 154 numberOfRows = 3 155row [1]: "standardized log (%F__1_)" 8.081690218264765 0.6318778113546369 1.9790354205211989 156row [2]: "standardized log (%F__2_)" 0.6318778113546369 2.4004531823129542 5.524087378886767 157row [3]: "standardized log (%F__3_)" 1.9790354205211989 5.524087378886767 24.65880692527169 158 numberOfObservations = 50 159 centroid []: 160 centroid [1] = -1.3625596113923355 161 centroid [2] = 1.3241682172552764 162 centroid [3] = 1.0457830819884582 163 item [10]: 164 class = "SSCP" 165 name = "o" 166 numberOfColumns = 3 167columnLabels []: 168"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 169 numberOfRows = 3 170row [1]: "standardized log (%F__1_)" 3.5939776313049254 1.6702307126016365 -0.37920099349106506 171row [2]: "standardized log (%F__2_)" 1.6702307126016365 3.901282219123324 0.9504479893814092 172row [3]: "standardized log (%F__3_)" -0.37920099349106506 0.9504479893814092 37.931161876785254 173 numberOfObservations = 50 174 centroid []: 175 centroid [1] = 0.23540526426271752 176 centroid [2] = -1.2107919088306194 177 centroid [3] = -0.018039991648837916 178 item [11]: 179 class = "SSCP" 180 name = "u" 181 numberOfColumns = 3 182columnLabels []: 183"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 184 numberOfRows = 3 185row [1]: "standardized log (%F__1_)" 8.904999958603216 1.041629226100712 2.5884622002583324 186row [2]: "standardized log (%F__2_)" 1.041629226100712 4.495561429410953 -0.29212116261459065 187row [3]: "standardized log (%F__3_)" 2.5884622002583324 -0.29212116261459065 37.14543437527783 188 numberOfObservations = 50 189 centroid []: 190 centroid [1] = -0.9137597633205335 191 centroid [2] = -1.5485260139424413 192 centroid [3] = -0.6503310662477612 193 item [12]: 194 class = "SSCP" 195 name = "y" 196 numberOfColumns = 3 197columnLabels []: 198"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 199 numberOfRows = 3 200row [1]: "standardized log (%F__1_)" 9.905167008234246 0.6668046403405659 3.2565058777165925 201row [2]: "standardized log (%F__2_)" 0.6668046403405659 3.178145328787026 8.007415551311658 202row [3]: "standardized log (%F__3_)" 3.2565058777165925 8.007415551311658 43.47637108433997 203 numberOfObservations = 50 204 centroid []: 205 centroid [1] = -1.254300686550484 206 centroid [2] = 0.6247224780561897 207 centroid [3] = -1.1492677004962346 208total? <exists> 209numberOfColumns = 3 210columnLabels []: 211"standardized log (%F__1_)" "standardized log (%F__2_)" "standardized log (%F__3_)" 212numberOfRows = 3 213row [1]: "standardized log (%F__1_)" 598.9999999999995 -180.9945547854731 116.52712787173051 214row [2]: "standardized log (%F__2_)" -180.9945547854731 598.9999999999997 71.98818443063034 215row [3]: "standardized log (%F__3_)" 116.52712787173051 71.98818443063034 598.9999999999995 216numberOfObservations = 600 217centroid []: 218 centroid [1] = -7.206272615671121e-16 219 centroid [2] = 1.2472661792273243e-15 220 centroid [3] = -2.7715734799797314e-15 221aprioriProbabilities []: 222 aprioriProbabilities [1] = 0.08333333333333333 223 aprioriProbabilities [2] = 0.08333333333333333 224 aprioriProbabilities [3] = 0.08333333333333333 225 aprioriProbabilities [4] = 0.08333333333333333 226 aprioriProbabilities [5] = 0.08333333333333333 227 aprioriProbabilities [6] = 0.08333333333333333 228 aprioriProbabilities [7] = 0.08333333333333333 229 aprioriProbabilities [8] = 0.08333333333333333 230 aprioriProbabilities [9] = 0.08333333333333333 231 aprioriProbabilities [10] = 0.08333333333333333 232 aprioriProbabilities [11] = 0.08333333333333333 233 aprioriProbabilities [12] = 0.08333333333333333 234costs [] []: 235 costs [1]: 236 costs [1] [1] = 0 237 costs [1] [2] = 1 238 costs [1] [3] = 1 239 costs [1] [4] = 1 240 costs [1] [5] = 1 241 costs [1] [6] = 1 242 costs [1] [7] = 1 243 costs [1] [8] = 1 244 costs [1] [9] = 1 245 costs [1] [10] = 1 246 costs [1] [11] = 1 247 costs [1] [12] = 1 248 costs [2]: 249 costs [2] [1] = 1 250 costs [2] [2] = 0 251 costs [2] [3] = 1 252 costs [2] [4] = 1 253 costs [2] [5] = 1 254 costs [2] [6] = 1 255 costs [2] [7] = 1 256 costs [2] [8] = 1 257 costs [2] [9] = 1 258 costs [2] [10] = 1 259 costs [2] [11] = 1 260 costs [2] [12] = 1 261 costs [3]: 262 costs [3] [1] = 1 263 costs [3] [2] = 1 264 costs [3] [3] = 0 265 costs [3] [4] = 1 266 costs [3] [5] = 1 267 costs [3] [6] = 1 268 costs [3] [7] = 1 269 costs [3] [8] = 1 270 costs [3] [9] = 1 271 costs [3] [10] = 1 272 costs [3] [11] = 1 273 costs [3] [12] = 1 274 costs [4]: 275 costs [4] [1] = 1 276 costs [4] [2] = 1 277 costs [4] [3] = 1 278 costs [4] [4] = 0 279 costs [4] [5] = 1 280 costs [4] [6] = 1 281 costs [4] [7] = 1 282 costs [4] [8] = 1 283 costs [4] [9] = 1 284 costs [4] [10] = 1 285 costs [4] [11] = 1 286 costs [4] [12] = 1 287 costs [5]: 288 costs [5] [1] = 1 289 costs [5] [2] = 1 290 costs [5] [3] = 1 291 costs [5] [4] = 1 292 costs [5] [5] = 0 293 costs [5] [6] = 1 294 costs [5] [7] = 1 295 costs [5] [8] = 1 296 costs [5] [9] = 1 297 costs [5] [10] = 1 298 costs [5] [11] = 1 299 costs [5] [12] = 1 300 costs [6]: 301 costs [6] [1] = 1 302 costs [6] [2] = 1 303 costs [6] [3] = 1 304 costs [6] [4] = 1 305 costs [6] [5] = 1 306 costs [6] [6] = 0 307 costs [6] [7] = 1 308 costs [6] [8] = 1 309 costs [6] [9] = 1 310 costs [6] [10] = 1 311 costs [6] [11] = 1 312 costs [6] [12] = 1 313 costs [7]: 314 costs [7] [1] = 1 315 costs [7] [2] = 1 316 costs [7] [3] = 1 317 costs [7] [4] = 1 318 costs [7] [5] = 1 319 costs [7] [6] = 1 320 costs [7] [7] = 0 321 costs [7] [8] = 1 322 costs [7] [9] = 1 323 costs [7] [10] = 1 324 costs [7] [11] = 1 325 costs [7] [12] = 1 326 costs [8]: 327 costs [8] [1] = 1 328 costs [8] [2] = 1 329 costs [8] [3] = 1 330 costs [8] [4] = 1 331 costs [8] [5] = 1 332 costs [8] [6] = 1 333 costs [8] [7] = 1 334 costs [8] [8] = 0 335 costs [8] [9] = 1 336 costs [8] [10] = 1 337 costs [8] [11] = 1 338 costs [8] [12] = 1 339 costs [9]: 340 costs [9] [1] = 1 341 costs [9] [2] = 1 342 costs [9] [3] = 1 343 costs [9] [4] = 1 344 costs [9] [5] = 1 345 costs [9] [6] = 1 346 costs [9] [7] = 1 347 costs [9] [8] = 1 348 costs [9] [9] = 0 349 costs [9] [10] = 1 350 costs [9] [11] = 1 351 costs [9] [12] = 1 352 costs [10]: 353 costs [10] [1] = 1 354 costs [10] [2] = 1 355 costs [10] [3] = 1 356 costs [10] [4] = 1 357 costs [10] [5] = 1 358 costs [10] [6] = 1 359 costs [10] [7] = 1 360 costs [10] [8] = 1 361 costs [10] [9] = 1 362 costs [10] [10] = 0 363 costs [10] [11] = 1 364 costs [10] [12] = 1 365 costs [11]: 366 costs [11] [1] = 1 367 costs [11] [2] = 1 368 costs [11] [3] = 1 369 costs [11] [4] = 1 370 costs [11] [5] = 1 371 costs [11] [6] = 1 372 costs [11] [7] = 1 373 costs [11] [8] = 1 374 costs [11] [9] = 1 375 costs [11] [10] = 1 376 costs [11] [11] = 0 377 costs [11] [12] = 1 378 costs [12]: 379 costs [12] [1] = 1 380 costs [12] [2] = 1 381 costs [12] [3] = 1 382 costs [12] [4] = 1 383 costs [12] [5] = 1 384 costs [12] [6] = 1 385 costs [12] [7] = 1 386 costs [12] [8] = 1 387 costs [12] [9] = 1 388 costs [12] [10] = 1 389 costs [12] [11] = 1 390 costs [12] [12] = 0 391