Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:49 PM

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


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                  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
              ________
 1                 15


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  0


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                  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
              ________
 1                 16


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  0


     PARAMETER SPECIFICATION FOR LATENT CLASS 3


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                  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
              ________
 1                  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
              ________      ________      ________
 1                 17            18             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              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
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              0.000


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              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
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              0.000


     STARTING VALUES FOR LATENT CLASS 3


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              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
              ________
 1              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
              ________      ________      ________
 1              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 -0.36612213D+04 3022.1805206    0.4521920     21.515     0.000    EM
                                                    478.485
     3 -0.36588855D+04    2.3357629    0.0006380     27.520     0.000    EM
                                                    472.480
     4 -0.36568539D+04    2.0315548    0.0005552     35.394     0.000    EM
                                                    464.606
     5 -0.36541117D+04    2.7422236    0.0007499     45.771     0.000    EM
                                                    454.229
     6 -0.36502436D+04    3.8681475    0.0010586     59.716     0.000    EM
                                                    440.284
     7 -0.36444651D+04    5.7785204    0.0015831     78.462     0.000    EM
                                                    421.538
     8 -0.36349807D+04    9.4843032    0.0026024    104.446     0.000    EM
                                                    395.554
     9 -0.36196890D+04   15.2917876    0.0042068    140.921     0.000    EM
                                                    359.079
    10 -0.35915050D+04   28.1839437    0.0077863    192.763     0.000    EM
                                                    307.237


  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 -0.32941836D+04 ************    0.8133415      0.000    38.648    EM
                                                    461.352
     3 -0.31648509D+04  129.3327300    0.0392609      0.000    59.177    EM
                                                    440.823
     4 -0.30567941D+04  108.0567986    0.0341428      0.000    84.838    EM
                                                    415.162
     5 -0.29545386D+04  102.2554491    0.0334519      0.000   106.993    EM
                                                    393.007
     6 -0.29094983D+04   45.0402988    0.0152444      0.000   113.205    EM
                                                    386.795
     7 -0.29037001D+04    5.7982252    0.0019929      0.000   114.232    EM
                                                    385.768
     8 -0.29028199D+04    0.8802440    0.0003031      0.000   114.334    EM
                                                    385.666
     9 -0.29025328D+04    0.2871060    0.0000989      0.000   114.377    EM
                                                    385.623
    10 -0.29023488D+04    0.1839030    0.0000634      0.000   114.362    EM
                                                    385.638


  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 -0.35758033D+04 9425.4031931    0.7249637     25.445     0.000    EM
                                                    474.555
     3 -0.32294805D+04  346.3227522    0.0968517     38.302     0.000    EM
                                                    461.698
     4 -0.31559630D+04   73.5174920    0.0227645     59.970     0.000    EM
                                                    440.030
     5 -0.30435658D+04  112.3972895    0.0356143     86.749     0.000    EM
                                                    413.251
     6 -0.29445310D+04   99.0347606    0.0325391    108.149     0.000    EM
                                                    391.851
     7 -0.29061750D+04   38.3560433    0.0130262    113.442     0.000    EM
                                                    386.558
     8 -0.29039562D+04    2.2187505    0.0007635    114.218     0.000    EM
                                                    385.782
     9 -0.29038995D+04    0.0567309    0.0000195    114.361     0.000    EM
                                                    385.639
    10 -0.29038763D+04    0.0231504    0.0000080    114.348     0.000    EM
                                                    385.652


  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 -0.36507527D+04 3850.8396455    0.5133363    419.967     0.000    EM
                                                     80.033
     3 -0.36353907D+04   15.3620537    0.0042079    394.009     0.000    EM
                                                    105.991
     4 -0.36213251D+04   14.0656368    0.0038691    360.384     0.000    EM
                                                    139.616
     5 -0.35989410D+04   22.3840229    0.0061812    316.587     0.000    EM
                                                    183.413
     6 -0.35454394D+04   53.5016524    0.0148659    248.816     0.000    EM
                                                    251.184
     7 -0.34158741D+04  129.5653312    0.0365442    166.085     0.000    EM
                                                    333.915
     8 -0.31019624D+04  313.9116590    0.0918979    119.257     0.000    EM
                                                    380.743
     9 -0.29063713D+04  195.5910914    0.0630540    114.974     0.000    EM
                                                    385.026
    10 -0.29042505D+04    2.1207909    0.0007297    114.533     0.000    EM
                                                    385.467


  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    4.6225352    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 -0.36650475D+04 ************    0.8000231      0.029     0.000    EM
                                                    499.971
     3 -0.36650319D+04    0.0156021    0.0000043      0.037     0.000    EM
                                                    499.963


  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   42.1618860    0.0116703      0.000   187.172    EM
                                                    312.828
     6 -0.34686518D+04  101.9400920    0.0285499      0.000   279.738    EM
                                                    220.262
     7 -0.31687821D+04  299.8697029    0.0864514      0.000   368.830    EM
                                                    131.170
     8 -0.26290311D+04  539.7509899    0.1703339      0.000   383.049    EM
                                                    116.951
     9 -0.25870364D+04   41.9946590    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 -0.36603802D+04 8661.0925830    0.7029267     22.136     0.000    EM
                                                    477.864
     3 -0.36541607D+04    6.2194887    0.0016991     32.438     0.000    EM
                                                    467.562
     4 -0.36479679D+04    6.1928397    0.0016947     48.111     0.000    EM
                                                    451.889
     5 -0.36381886D+04    9.7792546    0.0026807     71.720     0.000    EM
                                                    428.280
     6 -0.36211810D+04   17.0076330    0.0046748    107.658     0.000    EM
                                                    392.342
     7 -0.35884139D+04   32.7670961    0.0090487    162.894     0.000    EM
                                                    337.106
     8 -0.35143611D+04   74.0528086    0.0206366    245.916     0.000    EM
                                                    254.084
     9 -0.33071308D+04  207.2302875    0.0589667    345.843     0.000    EM
                                                    154.157
    10 -0.27765288D+04  530.6019474    0.1604418    382.568     0.000    EM
                                                    117.432


  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:  17:49:36
        Ending Time:  17:49:37
       Elapsed Time:  00:00:01



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