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