Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012  10:57 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  939021           8
           -2183.081  127215           9
           -2587.032  903420           5
           -2587.032  27071            15



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         32.00001          0.06400
       2         85.06896          0.17014
       3        382.93103          0.76586


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

    Latent
   Classes

       1         32.00001          0.06400
       2         85.06896          0.17014
       3        382.93103          0.76586


CLASSIFICATION QUALITY

     Entropy                         0.999


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1               32          0.06400
       2               85          0.17000
       3              383          0.76600


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


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                  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 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                  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 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               -2.482      0.184    -13.489      0.000
    C#2               -1.504      0.120    -12.542      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             0.774
 Y2             0.000         0.504
 Y3             0.000         0.000         0.518
 Y4             0.000         0.000         0.000         0.511
 Y5             0.000         0.000         0.000         0.000         0.490


           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             0.774
 Y2             0.000         0.504
 Y3             0.000         0.000         0.518
 Y4             0.000         0.000         0.000         0.511
 Y5             0.000         0.000         0.000         0.000         0.490


           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             0.774
 Y2             0.000         0.504
 Y3             0.000         0.000         0.518
 Y4             0.000         0.000         0.000         0.511
 Y5             0.000         0.000         0.000         0.000         0.490


           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 -0.40461082D+04    0.0000000    0.0000000    166.667   166.667    EM
                                                    166.667
     2 -0.36650397D+04  381.0685162    0.0941815    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 -0.89182076D+04    0.0000000    0.0000000     11.459     0.000    EM
                                                    488.541
     2 -0.36625286D+04 5255.6789835    0.5893201     13.935     0.000    EM
                                                    486.065
     3 -0.36611679D+04    1.3607136    0.0003715     17.724     0.000    EM
                                                    482.276
     4 -0.36599750D+04    1.1928715    0.0003258     22.672     0.000    EM
                                                    477.328
     5 -0.36584157D+04    1.5592782    0.0004260     29.085     0.000    EM
                                                    470.915
     6 -0.36563015D+04    2.1142086    0.0005779     37.476     0.000    EM
                                                    462.524
     7 -0.36532825D+04    3.0190671    0.0008257     48.729     0.000    EM
                                                    451.271
     8 -0.36488908D+04    4.3916131    0.0012021     63.778     0.000    EM
                                                    436.222
     9 -0.36424160D+04    6.4748508    0.0017745     84.292     0.000    EM
                                                    415.708
    10 -0.36321001D+04   10.3158943    0.0028322    112.141     0.000    EM
                                                    387.859


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.29473029D+05    0.0000000    0.0000000      0.000     8.870    EM
                                                    491.130
     2 -0.33522933D+04 ************    0.8862589      0.000    33.658    EM
                                                    466.342
     3 -0.31925172D+04  159.7760595    0.0476617      0.000    48.395    EM
                                                    451.605
     4 -0.31024526D+04   90.0646469    0.0282112      0.000    74.517    EM
                                                    425.483
     5 -0.29868130D+04  115.6396064    0.0372736      0.000   100.900    EM
                                                    399.100
     6 -0.29163553D+04   70.4577222    0.0235896      0.000   112.366    EM
                                                    387.634
     7 -0.29065925D+04    9.7627625    0.0033476      0.000   114.128    EM
                                                    385.872
     8 -0.29063365D+04    0.2560136    0.0000881      0.000   114.425    EM
                                                    385.575
     9 -0.29062896D+04    0.0468994    0.0000161      0.000   114.445    EM
                                                    385.555
    10 -0.29060779D+04    0.2116747    0.0000728      0.000   114.331    EM
                                                    385.669


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.21426041D+05    0.0000000    0.0000000      4.543     0.000    EM
                                                    495.457
     2 -0.34863139D+04 ************    0.8372861     36.453     0.000    EM
                                                    463.547
     3 -0.31790551D+04  307.2587731    0.0881328     54.640     0.000    EM
                                                    445.360
     4 -0.30682124D+04  110.8426498    0.0348665     82.192     0.000    EM
                                                    417.808
     5 -0.29602764D+04  107.9360380    0.0351788    106.015     0.000    EM
                                                    393.985
     6 -0.29102212D+04   50.0551847    0.0169090    113.210     0.000    EM
                                                    386.790
     7 -0.29062751D+04    3.9460982    0.0013559    114.251     0.000    EM
                                                    385.749
     8 -0.29059766D+04    0.2984788    0.0001027    114.452     0.000    EM
                                                    385.548
     9 -0.29059652D+04    0.0114595    0.0000039    114.494     0.000    EM
                                                    385.506
    10 -0.29059292D+04    0.0359556    0.0000124    114.509     0.000    EM
                                                    385.491


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.98263592D+04    0.0000000    0.0000000    492.147     0.000    EM
                                                      7.853
     2 -0.36650979D+04 6161.2612187    0.6270136    492.070     0.000    EM
                                                      7.930
     3 -0.36632764D+04    1.8215707    0.0004970    490.310     0.000    EM
                                                      9.690
     4 -0.36626976D+04    0.5787357    0.0001580    488.084     0.000    EM
                                                     11.916


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12442598D+05    0.0000000    0.0000000    382.091     0.000    EM
                                                    117.909
     2 -0.25884142D+04 9854.1834647    0.7919716    383.276     0.000    EM
                                                    116.724
     3 -0.25870318D+04    1.3824496    0.0005341    383.251     0.000    EM
                                                    116.749
     4 -0.25870317D+04    0.0001110    0.0000000    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 -0.30435455D+05    0.0000000    0.0000000      0.000    66.704    EM
                                                    433.296
     2 -0.27844552D+04 ************    0.9085128      0.000    98.633    EM
                                                    401.367
     3 -0.26129978D+04  171.4574163    0.0615766      0.000   114.773    EM
                                                    385.227
     4 -0.25874288D+04   25.5689640    0.0097853      0.000   116.627    EM
                                                    383.373
     5 -0.25870335D+04    0.3953131    0.0001528      0.000   116.744    EM
                                                    383.256


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.21827407D+05    0.0000000    0.0000000      0.002     0.000    EM
                                                    499.998
     2 -0.36136707D+04 ************    0.8344434     16.702     0.000    EM
                                                    483.298
     3 -0.31126379D+04  501.0327377    0.1386493     33.642     0.000    EM
                                                    466.358
     4 -0.30061535D+04  106.4843950    0.0342103     47.730     0.000    EM
                                                    452.270
     5 -0.29004028D+04  105.7507975    0.0351781     75.696     0.000    EM
                                                    424.304
     6 -0.27113746D+04  189.0281961    0.0651731    105.066     0.000    EM
                                                    394.934
     7 -0.25983826D+04  112.9919807    0.0416733    115.623     0.000    EM
                                                    384.377
     8 -0.25871721D+04   11.2104605    0.0043144    116.682     0.000    EM
                                                    383.318
     9 -0.25870322D+04    0.1398789    0.0000541    116.747     0.000    EM
                                                    383.253


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.79859948D+04    0.0000000    0.0000000      0.687     2.175    EM
                                                    497.137
     2 -0.33039520D+04 4682.0427991    0.5862817     10.788    24.134    EM
                                                    465.078
     3 -0.29847387D+04  319.2132663    0.0966156     11.386    43.688    EM
                                                    444.926
     4 -0.27719902D+04  212.7484922    0.0712788     21.297    71.784    EM
                                                    406.919
     5 -0.23303500D+04  441.6401667    0.1593224     31.946    84.719    EM
                                                    383.335
     6 -0.21831115D+04  147.2385240    0.0631830     32.000    85.063    EM
                                                    382.937
     7 -0.21830814D+04    0.0300845    0.0000138     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 -0.15162411D+05    0.0000000    0.0000000    116.786    28.097    EM
                                                    355.117
     2 -0.22792714D+04 ************    0.8496762     86.461    32.000    EM
                                                    381.538
     3 -0.21833750D+04   95.8963666    0.0420733     85.104    32.000    EM
                                                    382.896
     4 -0.21830816D+04    0.2933635    0.0001344     85.070    32.000    EM
                                                    382.930


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16547893D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.7785193      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 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.20351494D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.8199130      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 -0.13601137D+05    0.0000000    0.0000000     38.021   407.897    EM
                                                     54.082
     2 -0.29613563D+04 ************    0.7822714     55.510   371.249    EM
                                                     73.241
     3 -0.28374932D+04  123.8631023    0.0418265     83.012   326.446    EM
                                                     90.541
     4 -0.26796819D+04  157.8113640    0.0556165    107.576   294.212    EM
                                                     98.211
     5 -0.25999020D+04   79.7798618    0.0297721    115.624   286.740    EM
                                                     97.636
     6 -0.25895588D+04   10.3432475    0.0039783    116.620   286.822    EM
                                                     96.558
     7 -0.25880103D+04    1.5484602    0.0005980    116.720   287.207    EM
                                                     96.073
     8 -0.25874429D+04    0.5674366    0.0002193    116.739   287.394    EM
                                                     95.867


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.17976313D+05    0.0000000    0.0000000     21.961   281.207    EM
                                                    196.831
     2 -0.33887744D+04 ************    0.8114867     29.882   177.066    EM
                                                    293.053
     3 -0.29264559D+04  462.3185624    0.1364265     34.904   119.159    EM
                                                    345.938
     4 -0.25881091D+04  338.3468179    0.1156166     35.092   116.833    EM
                                                    348.075
     5 -0.25870363D+04    1.0727749    0.0004145     35.095   116.755    EM
                                                    348.149
     6 -0.25870333D+04    0.0029637    0.0000011     35.094   116.751    EM
                                                    348.154


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.31535837D+05    0.0000000    0.0000000     93.154     0.000    EM
                                                    406.846
     2 -0.36307831D+04 ************    0.8848680    128.132     0.000    EM
                                                    371.868
     3 -0.35675709D+04   63.2121893    0.0174101    193.434     0.000    EM
                                                    306.566
     4 -0.34554382D+04  112.1326532    0.0314311    287.998     0.000    EM
                                                    212.002
     5 -0.31287823D+04  326.6559302    0.0945339    372.530     0.000    EM
                                                    127.470
     6 -0.26113737D+04  517.4086573    0.1653706    383.077     0.000    EM
                                                    116.923
     7 -0.25870352D+04   24.3384157    0.0093202    383.240     0.000    EM
                                                    116.760
     8 -0.25870317D+04    0.0035552    0.0000014    383.249     0.000    EM
                                                    116.751


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11546825D+05    0.0000000    0.0000000      0.000    47.436    EM
                                                    452.564
     2 -0.36505835D+04 7896.2412299    0.6838452      0.000    63.184    EM
                                                    436.816
     3 -0.36285827D+04   22.0007600    0.0060266      0.000    94.184    EM
                                                    405.816
     4 -0.36018106D+04   26.7721256    0.0073781      0.000   142.228    EM
                                                    357.772
     5 -0.35461764D+04   55.6342362    0.0154462      0.000   215.552    EM
                                                    284.448
     6 -0.34010673D+04  145.1090629    0.0409199      0.000   315.134    EM
                                                    184.866
     7 -0.29782735D+04  422.7938431    0.1243121      0.000   379.896    EM
                                                    120.104
     8 -0.25892559D+04  389.0175455    0.1306185      0.000   383.154    EM
                                                    116.846
     9 -0.25870328D+04    2.2231480    0.0008586      0.000   383.244    EM
                                                    116.756
    10 -0.25870317D+04    0.0010932    0.0000004      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 -0.19881047D+05    0.0000000    0.0000000      9.782     0.000    EM
                                                    490.218
     2 -0.36629018D+04 ************    0.8157591     12.036     0.000    EM
                                                    487.964
     3 -0.36593805D+04    3.5212469    0.0009613     17.527     0.000    EM
                                                    482.473
     4 -0.36562881D+04    3.0924330    0.0008451     25.877     0.000    EM
                                                    474.123
     5 -0.36517115D+04    4.5765898    0.0012517     38.316     0.000    EM
                                                    461.684
     6 -0.36444177D+04    7.2937857    0.0019974     56.937     0.000    EM
                                                    443.063
     7 -0.36321933D+04   12.2243595    0.0033543     85.089     0.000    EM
                                                    414.911
     8 -0.36100875D+04   22.1058779    0.0060861    128.164     0.000    EM
                                                    371.836
     9 -0.35649065D+04   45.1809792    0.0125152    194.267     0.000    EM
                                                    305.733
    10 -0.34533680D+04  111.5385055    0.0312879    289.057     0.000    EM
                                                    210.943


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.29874067D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.8773170      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 -0.13508857D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 9843.8174075    0.7286936      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 -0.24289542D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.8491104      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 -0.25831104D+05    0.0000000    0.0000000      0.000     0.000    EM
                                                    500.000
     2 -0.36650397D+04 ************    0.8581153      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


     7 -0.21830814D+04    0.0300845    0.0000138     32.000    85.069    EM
                                                    382.931
     8 -0.21830814D+04    0.0000060    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 9


     4 -0.21830816D+04    0.2933635    0.0001344     85.070    32.000    EM
                                                    382.930
     5 -0.21830814D+04    0.0002134    0.0000001     85.069    32.000    EM
                                                    382.931
     6 -0.21830814D+04    0.0000001    0.0000000     85.069    32.000    EM
                                                    382.931
     7 -0.21830814D+04    0.0000000    0.0000000     85.069    32.000    EM
                                                    382.931


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


     4 -0.25870317D+04    0.0001110    0.0000000    383.249     0.000    EM
                                                    116.751
     5 -0.25870317D+04    0.0000003    0.0000000    383.249     0.000    EM
                                                    116.751
     6 -0.25870317D+04    0.0000000    0.0000000    383.249     0.000    EM
                                                    116.751


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


    10 -0.25870317D+04    0.0010932    0.0000004      0.000   383.249    EM
                                                    116.751
    11 -0.25870317D+04    0.0000035    0.0000000      0.000   383.249    EM
                                                    116.751
    12 -0.25870317D+04    0.0000000    0.0000000      0.000   383.249    EM
                                                    116.751


     Beginning Time:  22:57:21
        Ending Time:  22:57:21
       Elapsed Time:  00:00:00



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