Mplus VERSION 7.2
MUTHEN & MUTHEN
05/07/2014   2:41 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of mixture modeling
  	with known classes (multiple group
  	analysis)
  DATA:	FILE IS ex7.21.dat;
  VARIABLE:	NAMES = g y1-y4;
  	CLASSES = cg (2) c (2);
  	KNOWNCLASS = cg (g = 0 g = 1);
  ANALYSIS:	TYPE = MIXTURE;
  MODEL:
  	%OVERALL%
  	c ON cg;
  MODEL c:
  	%c#1%
  	[y1-y4];
  	%c#2%
  	[y1-y4];
  MODEL cg:
  	%cg#1%
  	y1-y4;
  	%cg#2%
  	y1-y4;
  OUTPUT:	TECH1 TECH8;






*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



this is an example of mixture modeling
with known classes (multiple group
analysis)

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1000

Number of dependent variables                                    4
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           2

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4

Categorical latent variables
   CG          C

  Knownclass            CG


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-06
    Relative loglikelihood change                        0.100D-06
    Derivative                                           0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Optimization algorithm                                         EMA
Random Starts Specifications
  Number of initial stage random starts                         20
  Number of final stage optimizations                            4
  Number of initial stage iterations                            10
  Initial stage convergence criterion                    0.100D+01
  Random starts scale                                    0.500D+01
  Random seed for generating random starts                       0
Parameterization                                             LOGIT

Input data file(s)
  ex7.21.dat
Input data format  FREE


RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES

Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:

           -6273.830  107446           12
           -6273.830  573096           20
           -6273.830  650371           14
           -6273.830  127215           9



THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED.  RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       19

Loglikelihood

          H0 Value                       -6273.830
          H0 Scaling Correction Factor      0.9749
            for MLR

Information Criteria

          Akaike (AIC)                   12585.660
          Bayesian (BIC)                 12678.907
          Sample-Size Adjusted BIC       12618.562
            (n* = (n + 2) / 24)



MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

   CG  C

  Latent Class Variable Patterns

         CG         C
      Class     Class

         1         1
         1         2
         2         1
         2         2


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL

  Latent Class
    Pattern

    1  1        386.99760          0.38700
    1  2        126.00240          0.12600
    2  1        235.02309          0.23502
    2  2        251.97691          0.25198


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL

  Latent Class
    Variable    Class

    CG             1       513.00000          0.51300
                   2       487.00000          0.48700
    C              1       622.02069          0.62202
                   2       377.97931          0.37798


LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL

  CG Classes (Rows) by C Classes (Columns)

            1        2

   1     0.754    0.246
   2     0.483    0.517


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES

  Latent Class
    Pattern

    1  1        386.99759          0.38700
    1  2        126.00241          0.12600
    2  1        235.02309          0.23502
    2  2        251.97691          0.25198


FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES

  Latent Class
    Variable    Class

    CG             1       513.00000          0.51300
                   2       487.00000          0.48700
    C              1       622.02069          0.62202
                   2       377.97931          0.37798


CLASSIFICATION QUALITY

     Entropy                         0.980


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

Class Counts and Proportions

  Latent Class
    Pattern

    1  1              387          0.38700
    1  2              126          0.12600
    2  1              235          0.23500
    2  2              252          0.25200


Average Latent Class Probabilities for Most Likely Latent Class Pattern (Row)
by Latent Class Pattern (Column)

  Latent Class Variable Patterns

  Latent Class         CG         C
   Pattern No.      Class     Class

         1             1         1
         2             1         2
         3             2         1
         4             2         2

           1        2        3        4

    1   0.990    0.010    0.000    0.000
    2   0.030    0.970    0.000    0.000
    3   0.000    0.000    0.998    0.002
    4   0.000    0.000    0.002    0.998


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
FOR EACH LATENT CLASS VARIABLE

  Latent Class
    Variable    Class

    CG             1             513          0.51300
                   2             487          0.48700
    C              1             622          0.62200
                   2             378          0.37800


MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Latent Class Pattern 1 1

 Means
    Y1                -0.960      0.036    -26.726      0.000
    Y2                -0.957      0.033    -28.712      0.000
    Y3                -1.010      0.034    -29.435      0.000
    Y4                -1.041      0.034    -30.998      0.000

 Variances
    Y1                 1.021      0.066     15.466      0.000
    Y2                 0.986      0.065     15.246      0.000
    Y3                 0.990      0.063     15.824      0.000
    Y4                 1.001      0.060     16.601      0.000

Latent Class Pattern 1 2

 Means
    Y1                 0.938      0.042     22.595      0.000
    Y2                 0.905      0.039     23.449      0.000
    Y3                 0.970      0.041     23.425      0.000
    Y4                 1.008      0.040     25.270      0.000

 Variances
    Y1                 1.021      0.066     15.466      0.000
    Y2                 0.986      0.065     15.246      0.000
    Y3                 0.990      0.063     15.824      0.000
    Y4                 1.001      0.060     16.601      0.000

Latent Class Pattern 2 1

 Means
    Y1                -0.960      0.036    -26.726      0.000
    Y2                -0.957      0.033    -28.712      0.000
    Y3                -1.010      0.034    -29.435      0.000
    Y4                -1.041      0.034    -30.998      0.000

 Variances
    Y1                 0.551      0.035     15.642      0.000
    Y2                 0.447      0.027     16.534      0.000
    Y3                 0.514      0.031     16.337      0.000
    Y4                 0.465      0.030     15.428      0.000

Latent Class Pattern 2 2

 Means
    Y1                 0.938      0.042     22.595      0.000
    Y2                 0.905      0.039     23.449      0.000
    Y3                 0.970      0.041     23.425      0.000
    Y4                 1.008      0.040     25.270      0.000

 Variances
    Y1                 0.551      0.035     15.642      0.000
    Y2                 0.447      0.027     16.534      0.000
    Y3                 0.514      0.031     16.337      0.000
    Y4                 0.465      0.030     15.428      0.000

Categorical Latent Variables

 C#1      ON
    CG#1               1.192      0.140      8.502      0.000

 Means
    CG#1               0.052      0.063      0.822      0.411
    C#1               -0.070      0.091     -0.765      0.444


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.345E-01
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  1             2             3             4


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  9            10            11            12


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  1             2             3             4


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                13
 Y2                 0            14
 Y3                 0             0            15
 Y4                 0             0             0            16


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  9            10            11            12


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                13
 Y2                 0            14
 Y3                 0             0            15
 Y4                 0             0             0            16


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              CG#1          CG#2          C#1           C#2
              ________      ________      ________      ________
 1                 17             0            18             0


           BETA(C)
              CG#1          CG#2
              ________      ________
 C#1               19             0
 C#2                0             0


     STARTING VALUES FOR LATENT CLASS PATTERN 1 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -0.877        -0.882        -0.912        -0.908


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.814
 Y2             0.000         0.771
 Y3             0.000         0.000         0.844
 Y4             0.000         0.000         0.000         0.852


     STARTING VALUES FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1              0.399         0.359         0.388         0.397


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.814
 Y2             0.000         0.771
 Y3             0.000         0.000         0.844
 Y4             0.000         0.000         0.000         0.852


     STARTING VALUES FOR LATENT CLASS PATTERN 2 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -0.877        -0.882        -0.912        -0.908


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.814
 Y2             0.000         0.771
 Y3             0.000         0.000         0.844
 Y4             0.000         0.000         0.000         0.852


     STARTING VALUES FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1              0.399         0.359         0.388         0.397


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.814
 Y2             0.000         0.771
 Y3             0.000         0.000         0.844
 Y4             0.000         0.000         0.000         0.852


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              CG#1          CG#2          C#1           C#2
              ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000


           BETA(C)
              CG#1          CG#2
              ________      ________
 C#1            0.000         0.000
 C#2            0.000         0.000


TECHNICAL 8 OUTPUT


  INITIAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.67363796D+04    0.0000000    0.0000000    352.828   160.172    EM
                                                    224.314   262.686
     2 -0.63000443D+04  436.3353227    0.0647730    380.191   132.809    EM
                                                    233.822   253.178
     3 -0.62745672D+04   25.4771637    0.0040440    385.837   127.163    EM
                                                    234.852   252.148
     4 -0.62738481D+04    0.7190546    0.0001146    386.807   126.193    EM
                                                    234.995   252.005


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11624165D+05    0.0000000    0.0000000    205.317   307.683    EM
                                                    199.239   287.761
     2 -0.67384324D+04 4885.7331042    0.4203083    311.592   201.408    EM
                                                    216.555   270.445
     3 -0.63753700D+04  363.0623521    0.0538793    370.273   142.727    EM
                                                    231.980   255.020
     4 -0.62789491D+04   96.4209586    0.0151240    384.218   128.782    EM
                                                    234.633   252.367
     5 -0.62739465D+04    5.0025609    0.0007967    386.544   126.456    EM
                                                    234.959   252.041
     6 -0.62738325D+04    0.1139630    0.0000182    386.925   126.075    EM
                                                    235.012   251.988


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.19004346D+05    0.0000000    0.0000000     36.115   476.885    EM
                                                      9.112   477.888
     2 -0.73432819D+04 ************    0.6135999     67.063   445.937    EM
                                                     39.223   447.777
     3 -0.72429550D+04  100.3268740    0.0136624    117.518   395.482    EM
                                                     58.424   428.576
     4 -0.71286011D+04  114.3538978    0.0157883    196.262   316.738    EM
                                                     94.964   392.036
     5 -0.69445918D+04  184.0093291    0.0258128    272.595   240.405    EM
                                                    156.031   330.969
     6 -0.66357805D+04  308.8113016    0.0444679    338.159   174.841    EM
                                                    213.327   273.673
     7 -0.63359067D+04  299.8738093    0.0451904    375.412   137.588    EM
                                                    232.687   254.313
     8 -0.62760544D+04   59.8523200    0.0094465    385.013   127.987    EM
                                                    234.730   252.270
     9 -0.62738852D+04    2.1691325    0.0003456    386.668   126.332    EM
                                                    234.975   252.025
    10 -0.62738313D+04    0.0539298    0.0000086    386.944   126.056    EM
                                                    235.015   251.985


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16780365D+05    0.0000000    0.0000000    185.285   327.715    EM
                                                    191.431   295.569
     2 -0.74053423D+04 9375.0226598    0.5586900    200.559   312.441    EM
                                                    166.214   320.786
     3 -0.72318783D+04  173.4640466    0.0234242    246.646   266.354    EM
                                                    157.599   329.401
     4 -0.68901119D+04  341.7663577    0.0472583    314.002   198.998    EM
                                                    191.803   295.197
     5 -0.64654028D+04  424.7090985    0.0616404    363.360   149.640    EM
                                                    227.759   259.241
     6 -0.62857269D+04  179.6759163    0.0277904    382.592   130.408    EM
                                                    234.283   252.717
     7 -0.62741250D+04   11.6019659    0.0018458    386.258   126.742    EM
                                                    234.913   252.087
     8 -0.62738371D+04    0.2878358    0.0000459    386.877   126.123    EM
                                                    235.005   251.995


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16336295D+05    0.0000000    0.0000000    426.307    86.693    EM
                                                    473.943    13.057
     2 -0.73189422D+04 9017.3527552    0.5519827    407.478   105.522    EM
                                                    473.277    13.723
     3 -0.72305990D+04   88.3432030    0.0120705    355.862   157.138    EM
                                                    462.010    24.990
     4 -0.71384780D+04   92.1210347    0.0127404    294.610   218.390    EM
                                                    427.410    59.590
     5 -0.69905012D+04  147.9768112    0.0207295    237.043   275.957    EM
                                                    358.576   128.424
     6 -0.67201883D+04  270.3128988    0.0386686    181.996   331.004    EM
                                                    286.733   200.267
     7 -0.63829814D+04  337.2069313    0.0501782    142.075   370.925    EM
                                                    256.114   230.886
     8 -0.62785515D+04  104.4298833    0.0163607    128.849   384.151    EM
                                                    252.422   234.578
     9 -0.62739472D+04    4.6043231    0.0007333    126.477   386.523    EM
                                                    252.046   234.954
    10 -0.62738328D+04    0.1143167    0.0000182    126.080   386.920    EM
                                                    251.988   235.012


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12358034D+05    0.0000000    0.0000000    109.124   403.876    EM
                                                     16.467   470.533
     2 -0.73301376D+04 5027.8961164    0.4068524    121.917   391.083    EM
                                                     15.723   471.277
     3 -0.72216237D+04  108.5138454    0.0148038    172.351   340.649    EM
                                                     27.812   459.188
     4 -0.71218925D+04   99.7312077    0.0138101    230.667   282.333    EM
                                                     65.465   421.535
     5 -0.69619383D+04  159.9541788    0.0224595    285.575   227.425    EM
                                                    138.409   348.591
     6 -0.66729639D+04  288.9744781    0.0415078    338.423   174.577    EM
                                                    206.917   280.083
     7 -0.63529298D+04  320.0340923    0.0479598    374.179   138.821    EM
                                                    232.012   254.988
     8 -0.62766903D+04   76.2394363    0.0120007    384.780   128.220    EM
                                                    234.680   252.320
     9 -0.62738996D+04    2.7907804    0.0004446    386.630   126.370    EM
                                                    234.969   252.031
    10 -0.62738316D+04    0.0679119    0.0000108    386.938   126.062    EM
                                                    235.014   251.986


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18750345D+05    0.0000000    0.0000000    280.726   232.274    EM
                                                    199.906   287.094
     2 -0.65356494D+04 ************    0.6514384    351.525   161.475    EM
                                                    226.039   260.961
     3 -0.63047489D+04  230.9004713    0.0353294    380.787   132.213    EM
                                                    233.918   253.082
     4 -0.62746055D+04   30.1434481    0.0047811    386.027   126.973    EM
                                                    234.857   252.143
     5 -0.62738437D+04    0.7617467    0.0001214    386.847   126.153    EM
                                                    234.997   252.003


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22810097D+05    0.0000000    0.0000000    433.336    79.664    EM
                                                    345.784   141.216
     2 -0.67543534D+04 ************    0.7038876    420.299    92.701    EM
                                                    261.104   225.896
     3 -0.63369648D+04  417.3886773    0.0617955    397.469   115.531    EM
                                                    236.970   250.030
     4 -0.62756729D+04   61.2919012    0.0096721    388.715   124.285    EM
                                                    235.316   251.684
     5 -0.62738765D+04    1.7963754    0.0002862    387.279   125.721    EM
                                                    235.070   251.930
     6 -0.62738311D+04    0.0453828    0.0000072    387.045   125.955    EM
                                                    235.031   251.969


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14124481D+05    0.0000000    0.0000000    461.682    51.318    EM
                                                    365.912   121.088
     2 -0.68016917D+04 7322.7895029    0.5184466    435.079    77.921    EM
                                                    273.733   213.267
     3 -0.63849302D+04  416.7615254    0.0612732    402.796   110.204    EM
                                                    237.965   249.035
     4 -0.62777360D+04  107.1942528    0.0167886    389.644   123.356    EM
                                                    235.408   251.592
     5 -0.62739248D+04    3.8112078    0.0006071    387.417   125.583    EM
                                                    235.087   251.913
     6 -0.62738324D+04    0.0923895    0.0000147    387.067   125.933    EM
                                                    235.034   251.966


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.20454290D+05    0.0000000    0.0000000    373.959   139.041    EM
                                                    269.638   217.362
     2 -0.63804980D+04 ************    0.6880607    390.032   122.968    EM
                                                    236.428   250.572
     3 -0.62750048D+04  105.4931656    0.0165337    387.628   125.372    EM
                                                    235.127   251.873
     4 -0.62738449D+04    1.1599760    0.0001849    387.105   125.895    EM
                                                    235.038   251.962
     5 -0.62738301D+04    0.0147234    0.0000023    387.015   125.985    EM
                                                    235.026   251.974


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12019175D+05    0.0000000    0.0000000    507.501     5.499    EM
                                                    483.002     3.998
     2 -0.72764829D+04 4742.6917521    0.3945938    498.702    14.298    EM
                                                    424.292    62.708
     3 -0.70600423D+04  216.4405175    0.0297452    476.896    36.104    EM
                                                    329.065   157.935
     4 -0.66516799D+04  408.3624551    0.0578414    432.207    80.793    EM
                                                    250.199   236.801
     5 -0.63202842D+04  331.3956766    0.0498214    397.780   115.220    EM
                                                    236.329   250.671
     6 -0.62753544D+04   44.9298465    0.0071088    388.625   124.375    EM
                                                    235.260   251.740
     7 -0.62738677D+04    1.4866430    0.0002369    387.264   125.736    EM
                                                    235.063   251.937
     8 -0.62738309D+04    0.0368258    0.0000059    387.042   125.958    EM
                                                    235.030   251.970


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22000163D+05    0.0000000    0.0000000    352.105   160.895    EM
                                                    226.244   260.756
     2 -0.63456764D+04 ************    0.7115623    376.694   136.306    EM
                                                    233.714   253.286
     3 -0.62764442D+04   69.2322284    0.0109101    385.193   127.807    EM
                                                    234.757   252.243
     4 -0.62738893D+04    2.5548909    0.0004071    386.697   126.303    EM
                                                    234.975   252.025
     5 -0.62738313D+04    0.0580378    0.0000093    386.949   126.051    EM
                                                    235.015   251.985


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13201737D+05    0.0000000    0.0000000    406.561   106.439    EM
                                                    247.215   239.785
     2 -0.63233764D+04 6878.3610076    0.5210194    392.554   120.446    EM
                                                    236.426   250.574
     3 -0.62752312D+04   48.1452150    0.0076138    387.953   125.047    EM
                                                    235.241   251.759
     4 -0.62738594D+04    1.3718508    0.0002186    387.160   125.840    EM
                                                    235.056   251.944
     5 -0.62738305D+04    0.0288480    0.0000046    387.025   125.975    EM
                                                    235.028   251.972


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.19984516D+05    0.0000000    0.0000000    222.330   290.670    EM
                                                    379.613   107.387
     2 -0.69639226D+04 ************    0.6515341    195.261   317.739    EM
                                                    320.260   166.740
     3 -0.65616322D+04  402.2903819    0.0577678    156.366   356.634    EM
                                                    265.225   221.775
     4 -0.63009128D+04  260.7194583    0.0397339    132.489   380.511    EM
                                                    253.234   233.766
     5 -0.62745244D+04   26.3884077    0.0041880    127.121   385.879    EM
                                                    252.148   234.852
     6 -0.62738476D+04    0.6767878    0.0001079    126.189   386.811    EM
                                                    252.005   234.995


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.26220623D+05    0.0000000    0.0000000    438.640    74.360    EM
                                                    320.702   166.298
     2 -0.66949860D+04 ************    0.7446672    420.039    92.961    EM
                                                    252.009   234.991
     3 -0.63159058D+04  379.0802248    0.0566215    395.987   117.013    EM
                                                    236.351   250.649
     4 -0.62750823D+04   40.8234411    0.0064636    388.430   124.570    EM
                                                    235.250   251.750
     5 -0.62738625D+04    1.2198229    0.0001944    387.235   125.765    EM
                                                    235.060   251.940
     6 -0.62738308D+04    0.0317588    0.0000051    387.038   125.962    EM
                                                    235.029   251.971


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16728493D+05    0.0000000    0.0000000    415.333    97.667    EM
                                                    273.050   213.950
     2 -0.64554345D+04 ************    0.6141054    399.610   113.390    EM
                                                    238.763   248.237
     3 -0.62792430D+04  176.1914084    0.0272935    389.299   123.701    EM
                                                    235.310   251.690
     4 -0.62739102D+04    5.3328666    0.0008493    387.339   125.661    EM
                                                    235.071   251.929
     5 -0.62738315D+04    0.0786643    0.0000125    387.052   125.948    EM
                                                    235.031   251.969


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.19993169D+05    0.0000000    0.0000000    275.238   237.762    EM
                                                    301.870   185.130
     2 -0.77390243D+04 ************    0.6129166    488.166    24.834    EM
                                                    360.451   126.549
     3 -0.74326845D+04  306.3397966    0.0395838    485.528    27.472    EM
                                                    367.693   119.307
     4 -0.73520126D+04   80.6718623    0.0108537    485.752    27.248    EM
                                                    367.295   119.705
     5 -0.73244918D+04   27.5208791    0.0037433    487.368    25.632    EM
                                                    350.142   136.858
     6 -0.71560504D+04  168.4413799    0.0229970    478.401    34.599    EM
                                                    292.363   194.637
     7 -0.66785557D+04  477.4947064    0.0667260    438.608    74.392    EM
                                                    244.836   242.164
     8 -0.63200473D+04  358.5083383    0.0536805    396.876   116.124    EM
                                                    236.131   250.869
     9 -0.62753034D+04   44.7439600    0.0070797    388.609   124.391    EM
                                                    235.233   251.767
    10 -0.62738655D+04    1.4378377    0.0002291    387.256   125.744    EM
                                                    235.061   251.939


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.19945848D+05    0.0000000    0.0000000     35.138   477.862    EM
                                                      1.476   485.524
     2 -0.73660825D+04 ************    0.6306960     23.399   489.601    EM
                                                      0.727   486.273
     3 -0.73479432D+04   18.1392423    0.0024625     28.234   484.766    EM
                                                      0.724   486.276
     4 -0.73259626D+04   21.9805781    0.0029914     48.649   464.351    EM
                                                      0.998   486.002
     5 -0.72842277D+04   41.7349834    0.0056969     95.189   417.811    EM
                                                      1.884   485.116
     6 -0.72330583D+04   51.1693608    0.0070247    154.200   358.800    EM
                                                      5.031   481.969
     7 -0.71770772D+04   55.9811169    0.0077396    210.087   302.913    EM
                                                     18.176   468.824
     8 -0.70903143D+04   86.7628927    0.0120889    259.094   253.906    EM
                                                     66.450   420.550
     9 -0.69150629D+04  175.2514145    0.0247170    304.684   208.316    EM
                                                    150.696   336.304
    10 -0.65992913D+04  315.7715495    0.0456643    350.104   162.896    EM
                                                    215.355   271.645


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11395315D+05    0.0000000    0.0000000    505.705     7.295    EM
                                                    476.060    10.940
     2 -0.73109828D+04 4084.3321504    0.3584220    499.868    13.132    EM
                                                    451.036    35.964
     3 -0.71772702D+04  133.7125907    0.0182893    484.398    28.602    EM
                                                    378.113   108.887
     4 -0.68167076D+04  360.5626587    0.0502367    447.716    65.284    EM
                                                    263.604   223.396
     5 -0.63815651D+04  435.1424510    0.0638347    405.813   107.187    EM
                                                    237.599   249.401
     6 -0.62786107D+04  102.9544277    0.0161331    389.828   123.172    EM
                                                    235.436   251.564
     7 -0.62739460D+04    4.6646675    0.0007429    387.461   125.539    EM
                                                    235.092   251.908
     8 -0.62738329D+04    0.1131032    0.0000180    387.074   125.926    EM
                                                    235.035   251.965


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16318175D+05    0.0000000    0.0000000    259.867   253.133    EM
                                                    426.218    60.782
     2 -0.71766059D+04 9141.5691696    0.5602078    237.929   275.071    EM
                                                    393.913    93.087
     3 -0.69002849D+04  276.3210088    0.0385030    198.255   314.745    EM
                                                    321.620   165.380
     4 -0.65459514D+04  354.3334237    0.0513506    156.063   356.937    EM
                                                    265.249   221.751
     5 -0.62993402D+04  246.6112005    0.0376739    132.360   380.640    EM
                                                    253.209   233.791
     6 -0.62744803D+04   24.8599516    0.0039464    127.067   385.933    EM
                                                    252.146   234.854
     7 -0.62738455D+04    0.6348149    0.0001012    126.176   386.824    EM
                                                    252.004   234.996


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.19753059D+05    0.0000000    0.0000000    273.538   239.462    EM
                                                    271.375   215.625
     2 -0.70605188D+04 ************    0.6425607    432.499    80.501    EM
                                                    223.378   263.622
     3 -0.64017758D+04  658.7430162    0.0932995    395.181   117.819    EM
                                                    234.758   252.242
     4 -0.62758483D+04  125.9275095    0.0196707    388.339   124.661    EM
                                                    235.149   251.851
     5 -0.62738673D+04    1.9809945    0.0003157    387.223   125.777    EM
                                                    235.053   251.947
     6 -0.62738308D+04    0.0365310    0.0000058    387.036   125.964    EM
                                                    235.029   251.971


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


     5 -0.62738301D+04    0.0147234    0.0000023    387.015   125.985    EM
                                                    235.026   251.974
     6 -0.62738299D+04    0.0002557    0.0000000    387.001   125.999    EM
                                                    235.023   251.977
     7 -0.62738299D+04    0.0000057    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
     8 -0.62738299D+04    0.0000001    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


     5 -0.62738305D+04    0.0288480    0.0000046    387.025   125.975    EM
                                                    235.028   251.972
     6 -0.62738299D+04    0.0006441    0.0000001    387.002   125.998    EM
                                                    235.024   251.976
     7 -0.62738299D+04    0.0000155    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
     8 -0.62738299D+04    0.0000004    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


     6 -0.62738308D+04    0.0317588    0.0000051    387.038   125.962    EM
                                                    235.029   251.971
     7 -0.62738299D+04    0.0008600    0.0000001    387.004   125.996    EM
                                                    235.024   251.976
     8 -0.62738299D+04    0.0000237    0.0000000    386.999   126.001    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000007    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
    10 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


     6 -0.62738308D+04    0.0365310    0.0000058    387.036   125.964    EM
                                                    235.029   251.971
     7 -0.62738299D+04    0.0008980    0.0000001    387.004   125.996    EM
                                                    235.024   251.976
     8 -0.62738299D+04    0.0000240    0.0000000    386.999   126.001    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000007    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
    10 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


     Beginning Time:  14:41:51
        Ending Time:  14:41:52
       Elapsed Time:  00:00:01



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