Mplus VERSION 8
MUTHEN & MUTHEN
04/10/2017   4:43 AM

INPUT INSTRUCTIONS

  TITLE:	this is an example of CFA with a non-parametric
  	representation of a non-normal factor
  DATA:	FILE IS ex7.26.dat;
  VARIABLE:	NAMES ARE y1-y5 c;
  	USEV = y1-y5;
  	CLASSES = c(3);
  ANALYSIS:	TYPE = MIXTURE;
  MODEL:	%OVERALL%
  	f BY y1-y5;
  	f@0;
  OUTPUT:	TECH1 TECH8;



INPUT READING TERMINATED NORMALLY



this is an example of CFA with a non-parametric
representation of a non-normal factor

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    5
Number of independent variables                                  0
Number of continuous latent variables                            1
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5

Continuous latent variables
   F

Categorical latent variables
   C


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

Input data file(s)
  ex7.26.dat
Input data format  FREE



UNIVARIATE SAMPLE STATISTICS


     UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS

         Variable/         Mean/     Skewness/   Minimum/ % with                Percentiles
        Sample Size      Variance    Kurtosis    Maximum  Min/Max      20%/60%    40%/80%    Median

     Y1                    0.566       1.415      -1.527    0.20%      -0.337      0.006      0.155
             500.000       1.545       1.589       4.976    0.20%       0.362      1.542
     Y2                    0.418       1.084      -1.358    0.20%      -0.382     -0.008      0.141
             500.000       1.005       1.022       3.980    0.20%       0.378      1.181
     Y3                    0.463       1.168      -1.336    0.20%      -0.363      0.040      0.208
             500.000       1.033       1.032       3.918    0.20%       0.427      1.087
     Y4                    0.406       1.268      -1.447    0.20%      -0.367     -0.047      0.161
             500.000       1.020       1.402       4.115    0.20%       0.357      1.083
     Y5                    0.443       1.113      -1.307    0.20%      -0.314      0.017      0.205
             500.000       0.978       0.890       3.811    0.20%       0.393      1.154

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:

           -2183.081  127215           9
           -2183.081  107446           12
           -2183.081  939021           8
           -2587.032  903420           5



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                       18

Loglikelihood

          H0 Value                       -2183.081
          H0 Scaling Correction Factor      0.9630
            for MLR

Information Criteria

          Akaike (AIC)                    4402.163
          Bayesian (BIC)                  4478.026
          Sample-Size Adjusted BIC        4420.893
            (n* = (n + 2) / 24)



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

    Latent
   Classes

       1         85.06896          0.17014
       2         32.00001          0.06400
       3        382.93103          0.76586


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

    Latent
   Classes

       1         85.06896          0.17014
       2         32.00001          0.06400
       3        382.93103          0.76586


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1               85          0.17000
       2               32          0.06400
       3              383          0.76600


CLASSIFICATION QUALITY

     Entropy                         0.999


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

           1        2        3

    1   1.000    0.000    0.000
    2   0.000    1.000    0.000
    3   0.000    0.000    1.000


Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

           1        2        3

    1   0.999    0.000    0.001
    2   0.000    1.000    0.000
    3   0.000    0.000    1.000


Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

              1        2        3

    1      7.112   -6.702    0.000
    2      0.000   13.816    0.000
    3    -13.816  -13.816    0.000


MODEL RESULTS

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

Latent Class 1

 F        BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 0.748      0.027     27.443      0.000
    Y3                 0.766      0.026     29.572      0.000
    Y4                 0.776      0.024     32.185      0.000
    Y5                 0.748      0.023     32.147      0.000

 Means
    F                  1.963      0.047     41.669      0.000

 Intercepts
    Y1                -0.019      0.025     -0.765      0.444
    Y2                -0.020      0.027     -0.740      0.459
    Y3                 0.015      0.026      0.570      0.569
    Y4                -0.048      0.025     -1.958      0.050
    Y5                 0.005      0.025      0.202      0.840

 Variances
    F                  0.000      0.000    999.000    999.000

 Residual Variances
    Y1                 0.245      0.014     17.051      0.000
    Y2                 0.277      0.018     15.453      0.000
    Y3                 0.271      0.016     17.306      0.000
    Y4                 0.238      0.014     17.454      0.000
    Y5                 0.250      0.015     16.453      0.000

Latent Class 2

 F        BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 0.748      0.027     27.443      0.000
    Y3                 0.766      0.026     29.572      0.000
    Y4                 0.776      0.024     32.185      0.000
    Y5                 0.748      0.023     32.147      0.000

 Means
    F                  3.928      0.079     49.817      0.000

 Intercepts
    Y1                -0.019      0.025     -0.765      0.444
    Y2                -0.020      0.027     -0.740      0.459
    Y3                 0.015      0.026      0.570      0.569
    Y4                -0.048      0.025     -1.958      0.050
    Y5                 0.005      0.025      0.202      0.840

 Variances
    F                  0.000      0.000    999.000    999.000

 Residual Variances
    Y1                 0.245      0.014     17.051      0.000
    Y2                 0.277      0.018     15.453      0.000
    Y3                 0.271      0.016     17.306      0.000
    Y4                 0.238      0.014     17.454      0.000
    Y5                 0.250      0.015     16.453      0.000

Latent Class 3

 F        BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 0.748      0.027     27.443      0.000
    Y3                 0.766      0.026     29.572      0.000
    Y4                 0.776      0.024     32.185      0.000
    Y5                 0.748      0.023     32.147      0.000

 Means
    F                  0.000      0.000    999.000    999.000

 Intercepts
    Y1                -0.019      0.025     -0.765      0.444
    Y2                -0.020      0.027     -0.740      0.459
    Y3                 0.015      0.026      0.570      0.569
    Y4                -0.048      0.025     -1.958      0.050
    Y5                 0.005      0.025      0.202      0.840

 Variances
    F                  0.000      0.000    999.000    999.000

 Residual Variances
    Y1                 0.245      0.014     17.051      0.000
    Y2                 0.277      0.018     15.453      0.000
    Y3                 0.271      0.016     17.306      0.000
    Y4                 0.238      0.014     17.454      0.000
    Y5                 0.250      0.015     16.453      0.000

Categorical Latent Variables

 Means
    C#1               -1.504      0.120    -12.542      0.000
    C#2               -2.482      0.184    -13.489      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.761E-03
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                    1             2             3             4             5


           LAMBDA
              F
              ________
 Y1                 0
 Y2                 6
 Y3                 7
 Y4                 8
 Y5                 9


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                10
 Y2                 0            11
 Y3                 0             0            12
 Y4                 0             0             0            13
 Y5                 0             0             0             0            14


           ALPHA
              F
              ________
                   15


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  0


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                    1             2             3             4             5


           LAMBDA
              F
              ________
 Y1                 0
 Y2                 6
 Y3                 7
 Y4                 8
 Y5                 9


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                10
 Y2                 0            11
 Y3                 0             0            12
 Y4                 0             0             0            13
 Y5                 0             0             0             0            14


           ALPHA
              F
              ________
                   16


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  0


     PARAMETER SPECIFICATION FOR LATENT CLASS 3


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                    1             2             3             4             5


           LAMBDA
              F
              ________
 Y1                 0
 Y2                 6
 Y3                 7
 Y4                 8
 Y5                 9


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                10
 Y2                 0            11
 Y3                 0             0            12
 Y4                 0             0             0            13
 Y5                 0             0             0             0            14


           ALPHA
              F
              ________
                    0


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2           C#3
              ________      ________      ________
                   17            18             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                0.566         0.418         0.463         0.406         0.443


           LAMBDA
              F
              ________
 Y1             1.000
 Y2             1.000
 Y3             1.000
 Y4             1.000
 Y5             1.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.773
 Y2             0.000         0.503
 Y3             0.000         0.000         0.517
 Y4             0.000         0.000         0.000         0.510
 Y5             0.000         0.000         0.000         0.000         0.489


           ALPHA
              F
              ________
                0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              0.000


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                0.566         0.418         0.463         0.406         0.443


           LAMBDA
              F
              ________
 Y1             1.000
 Y2             1.000
 Y3             1.000
 Y4             1.000
 Y5             1.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.773
 Y2             0.000         0.503
 Y3             0.000         0.000         0.517
 Y4             0.000         0.000         0.000         0.510
 Y5             0.000         0.000         0.000         0.000         0.489


           ALPHA
              F
              ________
                0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              0.000


     STARTING VALUES FOR LATENT CLASS 3


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
                0.566         0.418         0.463         0.406         0.443


           LAMBDA
              F
              ________
 Y1             1.000
 Y2             1.000
 Y3             1.000
 Y4             1.000
 Y5             1.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.773
 Y2             0.000         0.503
 Y3             0.000         0.000         0.517
 Y4             0.000         0.000         0.000         0.510
 Y5             0.000         0.000         0.000         0.000         0.489


           ALPHA
              F
              ________
                0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              0.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2           C#3
              ________      ________      ________
                0.000         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 -0.40486057D+04    0.0000000    0.0000000    166.667   166.667    EM
                                                    166.667
     2 -0.36650397D+04  383.5660011    0.0947403    166.667   166.667    EM
                                                    166.667
     3 -0.36650397D+04    0.0000000    0.0000000    166.667   166.667    EM
                                                    166.667


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.66834018D+04    0.0000000    0.0000000     17.757     0.000    EM
                                                    482.243
     2 -0.36610684D+04 3022.3333620    0.4522148     21.648     0.000    EM
                                                    478.352
     3 -0.36588612D+04    2.2072626    0.0006029     27.627     0.000    EM
                                                    472.373
     4 -0.36566736D+04    2.1875422    0.0005979     35.693     0.000    EM
                                                    464.307
     5 -0.36534704D+04    3.2031722    0.0008760     46.622     0.000    EM
                                                    453.378
     6 -0.36490308D+04    4.4396867    0.0012152     61.416     0.000    EM
                                                    438.584
     7 -0.36426134D+04    6.4173906    0.0017587     81.490     0.000    EM
                                                    418.510
     8 -0.36326126D+04   10.0007297    0.0027455    109.148     0.000    EM
                                                    390.852
     9 -0.36158076D+04   16.8050350    0.0046262    147.879     0.000    EM
                                                    352.121
    10 -0.35842910D+04   31.5165534    0.0087163    202.684     0.000    EM
                                                    297.316


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.17648185D+05    0.0000000    0.0000000      0.000    16.815    EM
                                                    483.185
     2 -0.32909266D+04 ************    0.8135261      0.000    38.388    EM
                                                    461.612
     3 -0.31633651D+04  127.5615379    0.0387616      0.000    58.850    EM
                                                    441.150
     4 -0.30470266D+04  116.3384419    0.0367768      0.000    87.222    EM
                                                    412.778
     5 -0.29461530D+04  100.8736497    0.0331056      0.000   108.366    EM
                                                    391.634
     6 -0.29084640D+04   37.6889542    0.0127926      0.000   113.568    EM
                                                    386.432
     7 -0.29064246D+04    2.0394418    0.0007012      0.000   114.270    EM
                                                    385.730
     8 -0.29063104D+04    0.1141671    0.0000393      0.000   114.324    EM
                                                    385.676


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13001206D+05    0.0000000    0.0000000      0.129     0.000    EM
                                                    499.871
     2 -0.35758409D+04 9425.3655412    0.7249608     25.442     0.000    EM
                                                    474.558
     3 -0.32291304D+04  346.7105794    0.0969592     38.025     0.000    EM
                                                    461.975
     4 -0.31593907D+04   69.7397064    0.0215971     59.335     0.000    EM
                                                    440.665
     5 -0.30509385D+04  108.4521757    0.0343269     84.842     0.000    EM
                                                    415.158
     6 -0.29511025D+04   99.8360279    0.0327231    107.140     0.000    EM
                                                    392.860
     7 -0.29069463D+04   44.1561799    0.0149626    113.394     0.000    EM
                                                    386.606
     8 -0.29039426D+04    3.0036308    0.0010333    114.271     0.000    EM
                                                    385.729
     9 -0.29038387D+04    0.1039790    0.0000358    114.371     0.000    EM
                                                    385.629
    10 -0.29038363D+04    0.0023916    0.0000008    114.414     0.000    EM
                                                    385.586


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.75015924D+04    0.0000000    0.0000000    435.433     0.000    EM
                                                     64.567
     2 -0.36509881D+04 3850.6043169    0.5133049    420.226     0.000    EM
                                                     79.774
     3 -0.36356054D+04   15.3827180    0.0042133    394.554     0.000    EM
                                                    105.446
     4 -0.36213001D+04   14.3052436    0.0039348    360.782     0.000    EM
                                                    139.218
     5 -0.35943087D+04   26.9914112    0.0074535    310.706     0.000    EM
                                                    189.294
     6 -0.35382057D+04   56.1030412    0.0156089    241.715     0.000    EM
                                                    258.285
     7 -0.33963871D+04  141.8185863    0.0400821    159.431     0.000    EM
                                                    340.569
     8 -0.30686725D+04  327.7145315    0.0964892    118.370     0.000    EM
                                                    381.630
     9 -0.29056792D+04  162.9933287    0.0531153    114.858     0.000    EM
                                                    385.142
    10 -0.29043502D+04    1.3290168    0.0004574    114.388     0.000    EM
                                                    385.612


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.95804932D+04    0.0000000    0.0000000    305.861     0.000    EM
                                                    194.139
     2 -0.30159101D+04 6564.5831816    0.6852030    378.580     0.000    EM
                                                    121.420
     3 -0.25916553D+04  424.2547458    0.1406722    383.153     0.000    EM
                                                    116.847
     4 -0.25870328D+04    4.6225351    0.0017836    383.244     0.000    EM
                                                    116.756
     5 -0.25870317D+04    0.0011086    0.0000004    383.249     0.000    EM
                                                    116.751


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18639954D+05    0.0000000    0.0000000      0.000    45.675    EM
                                                    454.325
     2 -0.29194459D+04 ************    0.8433770      0.000    76.230    EM
                                                    423.770
     3 -0.27090370D+04  210.4089280    0.0720715      0.000   105.447    EM
                                                    394.553
     4 -0.25975208D+04  111.5162061    0.0411645      0.000   115.710    EM
                                                    384.290
     5 -0.25871515D+04   10.3693228    0.0039920      0.000   116.688    EM
                                                    383.312
     6 -0.25870321D+04    0.1193141    0.0000461      0.000   116.747    EM
                                                    383.253


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13445434D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 9780.3941031    0.7274138      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.61039879D+04    0.0000000    0.0000000      8.100     3.426    EM
                                                    488.474
     2 -0.31684666D+04 2935.5212971    0.4809186     28.960    18.521    EM
                                                    452.519
     3 -0.26787685D+04  489.6980456    0.1545536     31.790    72.336    EM
                                                    395.874
     4 -0.22062614D+04  472.5071395    0.1763897     32.000    85.013    EM
                                                    382.987
     5 -0.21830819D+04   23.1794724    0.0105062     32.000    85.068    EM
                                                    382.932
     6 -0.21830814D+04    0.0004956    0.0000002     32.000    85.069    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10003869D+05    0.0000000    0.0000000    107.370     9.985    EM
                                                    382.645
     2 -0.23146574D+04 7689.2119208    0.7686238     85.202    31.765    EM
                                                    383.033
     3 -0.21831096D+04  131.5478836    0.0568325     85.065    32.000    EM
                                                    382.935
     4 -0.21830814D+04    0.0281349    0.0000129     85.069    32.000    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10979481D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 7314.4415813    0.6661919      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000029    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14620800D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.7493270      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.87380637D+04    0.0000000    0.0000000     31.118   270.138    EM
                                                    198.744
     2 -0.28701842D+04 5867.8794870    0.6715309     36.284   189.782    EM
                                                    273.933
     3 -0.26885447D+04  181.6394609    0.0632849     35.573   116.050    EM
                                                    348.377
     4 -0.23372589D+04  351.2858560    0.1306602     32.049    87.257    EM
                                                    380.695
     5 -0.21838167D+04  153.4421254    0.0656505     32.000    85.128    EM
                                                    382.872
     6 -0.21830820D+04    0.7347289    0.0003364     32.000    85.070    EM
                                                    382.930


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11329347D+05    0.0000000    0.0000000     99.380   128.042    EM
                                                    272.577
     2 -0.26206378D+04 8708.7096479    0.7686859     99.334   116.951    EM
                                                    283.714
     3 -0.25880117D+04   32.6260774    0.0124497     98.880   116.743    EM
                                                    284.378
     4 -0.25874395D+04    0.5722096    0.0002211     98.683   116.740    EM
                                                    284.576


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18327353D+05    0.0000000    0.0000000      0.037     0.000    EM
                                                    499.963
     2 -0.36650480D+04 ************    0.8000231      0.029     0.000    EM
                                                    499.971
     3 -0.36650307D+04    0.0172927    0.0000047      0.038     0.000    EM
                                                    499.962


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.88273732D+04    0.0000000    0.0000000      0.000    42.026    EM
                                                    457.974
     2 -0.36531626D+04 5174.2105911    0.5861552      0.000    55.202    EM
                                                    444.798
     3 -0.36342418D+04   18.9207929    0.0051793      0.000    82.006    EM
                                                    417.994
     4 -0.36127538D+04   21.4880734    0.0059127      0.000   123.476    EM
                                                    376.524
     5 -0.35705919D+04   42.1618859    0.0116703      0.000   187.172    EM
                                                    312.828
     6 -0.34686518D+04  101.9400919    0.0285499      0.000   279.738    EM
                                                    220.262
     7 -0.31687821D+04  299.8697026    0.0864514      0.000   368.830    EM
                                                    131.170
     8 -0.26290311D+04  539.7509901    0.1703339      0.000   383.049    EM
                                                    116.951
     9 -0.25870364D+04   41.9946593    0.0159734      0.000   383.238    EM
                                                    116.762
    10 -0.25870317D+04    0.0047478    0.0000018      0.000   383.249    EM
                                                    116.751


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12321473D+05    0.0000000    0.0000000     17.276     0.000    EM
                                                    482.724
     2 -0.36603836D+04 8661.0891267    0.7029265     22.134     0.000    EM
                                                    477.866
     3 -0.36541623D+04    6.2213938    0.0016997     32.434     0.000    EM
                                                    467.566
     4 -0.36479700D+04    6.1922188    0.0016946     48.105     0.000    EM
                                                    451.895
     5 -0.36381922D+04    9.7777878    0.0026803     71.711     0.000    EM
                                                    428.289
     6 -0.36211876D+04   17.0046828    0.0046739    107.645     0.000    EM
                                                    392.355
     7 -0.35884273D+04   32.7602796    0.0090468    162.874     0.000    EM
                                                    337.126
     8 -0.35143941D+04   74.0331965    0.0206311    245.888     0.000    EM
                                                    254.112
     9 -0.33072304D+04  207.1637070    0.0589472    345.819     0.000    EM
                                                    154.181
    10 -0.27766969D+04  530.5334550    0.1604162    382.567     0.000    EM
                                                    117.433


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.17603306D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.7917982      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.98384380D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 6173.3983921    0.6274775      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14449518D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.7463556      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.15794761D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.7679585      0.000     0.000    EM
                                                    500.000
     3 -0.36650397D+04    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


     6 -0.21830814D+04    0.0004956    0.0000002     32.000    85.069    EM
                                                    382.931
     7 -0.21830814D+04    0.0000002    0.0000000     32.000    85.069    EM
                                                    382.931
     8 -0.21830814D+04    0.0000000    0.0000000     32.000    85.069    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


     4 -0.21830814D+04    0.0281349    0.0000129     85.069    32.000    EM
                                                    382.931
     5 -0.21830814D+04    0.0000032    0.0000000     85.069    32.000    EM
                                                    382.931
     6 -0.21830814D+04    0.0000000    0.0000000     85.069    32.000    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


     6 -0.21830820D+04    0.7347289    0.0003364     32.000    85.070    EM
                                                    382.930
     7 -0.21830814D+04    0.0005858    0.0000003     32.000    85.069    EM
                                                    382.931
     8 -0.21830814D+04    0.0000003    0.0000000     32.000    85.069    EM
                                                    382.931
     9 -0.21830814D+04    0.0000000    0.0000000     32.000    85.069    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


     5 -0.25870317D+04    0.0011086    0.0000004    383.249     0.000    EM
                                                    116.751
     6 -0.25870317D+04    0.0000035    0.0000000    383.249     0.000    EM
                                                    116.751
     7 -0.25870317D+04    0.0000000    0.0000000    383.249     0.000    EM
                                                    116.751


     Beginning Time:  04:43:29
        Ending Time:  04:43:29
       Elapsed Time:  00:00:00



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