praat/test/dwtools/noTotal.Discriminant

File type = "ooTextFile"
Object class = "Discriminant 1"

eigen? <exists> 
numberOfEigenvalues = 3 
dimension = 3 
eigenvalues []: 
    eigenvalues [1] = 21.139001553325855 
    eigenvalues [2] = 4.355295817120757 
    eigenvalues [3] = 0.6828853876561901 
eigenvectors [] []: 
    eigenvectors [1]:
        eigenvectors [1] [1] = -0.5095945937147197 
        eigenvectors [1] [2] = 0.8585858858717424 
        eigenvectors [1] [3] = -0.0560680536363168 
    eigenvectors [2]:
        eigenvectors [2] [1] = 0.8327148188826576 
        eigenvectors [2] [2] = 0.5085421803078847 
        eigenvectors [2] [3] = 0.2190225587945806 
    eigenvectors [3]:
        eigenvectors [3] [1] = -0.2165626479103727 
        eigenvectors [3] [2] = -0.06492401273441406 
        eigenvectors [3] [3] = 0.9741075362096884 
numberOfGroups = 12 
groups? <exists> 
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_)"	7.18330857960738	3.097330033949894	-1.7789564005106775
row [2]: "standardized log (%F__2_)"	3.097330033949894	3.303987612651738	-0.29125922448881675
row [3]: "standardized log (%F__3_)"	-1.7789564005106775	-0.29125922448881675	20.17242895674037
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = 1.2736938484743978 
            centroid [2] = -0.7980324268009589 
            centroid [3] = 0.52208953580356 
    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_)"	4.749666736033554	1.7690171500295402	1.7501030793290935
row [2]: "standardized log (%F__2_)"	1.7690171500295402	2.8643729450602207	-1.1734401148458047
row [3]: "standardized log (%F__3_)"	1.7501030793290935	-1.1734401148458047	23.40462437949652
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = 0.4589868093363824 
            centroid [2] = -1.351739427763397 
            centroid [3] = 0.7838758634620263 
    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_)"	6.456192196293692	0.37968370644642313	2.3634733235211782
row [2]: "standardized log (%F__2_)"	0.37968370644642313	3.5702296082868155	7.363574885015937
row [3]: "standardized log (%F__3_)"	2.3634733235211782	7.363574885015937	36.64260597216446
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = 0.7966958782135842 
            centroid [2] = 0.6155709107830968 
            centroid [3] = -0.05494363352048529 
    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_)"	9.24423571578407	-0.9820105168212969	-0.9152576701472434
row [2]: "standardized log (%F__2_)"	-0.9820105168212969	3.226249064932281	7.241190360568189
row [3]: "standardized log (%F__3_)"	-0.9152576701472434	7.241190360568189	25.166342943866987
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -0.4924408746702678 
            centroid [2] = 1.0434578136051709 
            centroid [3] = 0.3408123049008417 
    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_)"	5.190475238923332	0.7396990707845167	2.2127653907239013
row [2]: "standardized log (%F__2_)"	0.7396990707845167	2.451257558642389	3.724682064961762
row [3]: "standardized log (%F__3_)"	2.2127653907239013	3.724682064961762	17.377966252491305
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -0.06611599614664286 
            centroid [2] = 0.21489702324229196 
            centroid [3] = -0.8937572629989501 
    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_)"	6.078893644563719	0.22074613549497368	2.2865518846979147
row [2]: "standardized log (%F__2_)"	0.22074613549497368	3.853359342917027	8.425393204522178
row [3]: "standardized log (%F__3_)"	2.2865518846979147	8.425393204522178	29.326003094517056
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -0.10308759884806179 
            centroid [2] = 0.20958314569196762 
            centroid [3] = -0.5180249531801528 
    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_)"	7.005522628945976	2.090280751104145	1.5234216789425978
row [2]: "standardized log (%F__2_)"	2.090280751104145	3.107213048517132	2.6192383675582107
row [3]: "standardized log (%F__3_)"	1.5234216789425978	2.6192383675582107	28.064397805934156
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = 1.766873453008129 
            centroid [2] = -0.1885036859990809 
            centroid [3] = 0.3137871302347796 
    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_)"	8.484623546640897	0.10938909606862843	2.0246126475151693
row [2]: "standardized log (%F__2_)"	0.10938909606862843	2.662191149790692	6.007252897802119
row [3]: "standardized log (%F__3_)"	2.0246126475151693	6.007252897802119	21.29122318311569
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -0.33939072236689405 
            centroid [2] = 1.065193874702519 
            centroid [3] = 0.278016691702723 
    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_)"	8.081690218264765	0.6318778113546369	1.9790354205211989
row [2]: "standardized log (%F__2_)"	0.6318778113546369	2.4004531823129542	5.524087378886767
row [3]: "standardized log (%F__3_)"	1.9790354205211989	5.524087378886767	24.65880692527169
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -1.3625596113923355 
            centroid [2] = 1.3241682172552764 
            centroid [3] = 1.0457830819884582 
    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_)"	3.5939776313049254	1.6702307126016365	-0.37920099349106506
row [2]: "standardized log (%F__2_)"	1.6702307126016365	3.901282219123324	0.9504479893814092
row [3]: "standardized log (%F__3_)"	-0.37920099349106506	0.9504479893814092	37.931161876785254
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = 0.23540526426271752 
            centroid [2] = -1.2107919088306194 
            centroid [3] = -0.018039991648837916 
    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_)"	8.904999958603216	1.041629226100712	2.5884622002583324
row [2]: "standardized log (%F__2_)"	1.041629226100712	4.495561429410953	-0.29212116261459065
row [3]: "standardized log (%F__3_)"	2.5884622002583324	-0.29212116261459065	37.14543437527783
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -0.9137597633205335 
            centroid [2] = -1.5485260139424413 
            centroid [3] = -0.6503310662477612 
    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_)"	9.905167008234246	0.6668046403405659	3.2565058777165925
row [2]: "standardized log (%F__2_)"	0.6668046403405659	3.178145328787026	8.007415551311658
row [3]: "standardized log (%F__3_)"	3.2565058777165925	8.007415551311658	43.47637108433997
        numberOfObservations = 50 
        centroid []: 
            centroid [1] = -1.254300686550484 
            centroid [2] = 0.6247224780561897 
            centroid [3] = -1.1492677004962346 
total? <absent> 
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