Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022  11:13 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



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


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.40486057D+04    0.0000000    0.0000000  EM
              2 -0.36650397D+04  383.5660011    0.0947403  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.66834018D+04    0.0000000    0.0000000  EM
              2 -0.36609990D+04 3022.4027858    0.4522252  EM
              3 -0.36588637D+04    2.1352603    0.0005832  EM
              4 -0.36566463D+04    2.2174214    0.0006060  EM
              5 -0.36535120D+04    3.1343406    0.0008572  EM
              6 -0.36490589D+04    4.4531066    0.0012189  EM
              7 -0.36425145D+04    6.5444072    0.0017935  EM
              8 -0.36324873D+04   10.0271542    0.0027528  EM
              9 -0.36156174D+04   16.8699020    0.0046442  EM
             10 -0.35833787D+04   32.2387294    0.0089165  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.17648185D+05    0.0000000    0.0000000  EM
              2 -0.32909266D+04 ************    0.8135261  EM
              3 -0.31633651D+04  127.5615379    0.0387616  EM
              4 -0.30470266D+04  116.3384419    0.0367768  EM
              5 -0.29461530D+04  100.8736497    0.0331056  EM
              6 -0.29084640D+04   37.6889663    0.0127926  EM
              7 -0.29064302D+04    2.0338094    0.0006993  EM
              8 -0.29063721D+04    0.0580671    0.0000200  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.13001206D+05    0.0000000    0.0000000  EM
              2 -0.35758409D+04 9425.3655412    0.7249608  EM
              3 -0.32266326D+04  349.2083600    0.0976577  EM
              4 -0.31537583D+04   72.8743299    0.0225853  EM
              5 -0.30428407D+04  110.9175670    0.0351700  EM
              6 -0.29453281D+04   97.5125843    0.0320466  EM
              7 -0.29078038D+04   37.5243487    0.0127403  EM
              8 -0.29057520D+04    2.0517716    0.0007056  EM
              9 -0.29056998D+04    0.0521923    0.0000180  EM
             10 -0.29056201D+04    0.0797046    0.0000274  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.75015924D+04    0.0000000    0.0000000  EM
              2 -0.36509881D+04 3850.6043169    0.5133049  EM
              3 -0.36356054D+04   15.3827180    0.0042133  EM
              4 -0.36213001D+04   14.3052436    0.0039348  EM
              5 -0.35943087D+04   26.9914112    0.0074535  EM
              6 -0.35382057D+04   56.1030412    0.0156089  EM
              7 -0.33963871D+04  141.8185863    0.0400821  EM
              8 -0.30686725D+04  327.7145315    0.0964892  EM
              9 -0.29056792D+04  162.9933287    0.0531153  EM
             10 -0.29043502D+04    1.3290168    0.0004574  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.95804932D+04    0.0000000    0.0000000  EM
              2 -0.30159101D+04 6564.5831816    0.6852030  EM
              3 -0.25916553D+04  424.2547458    0.1406722  EM
              4 -0.25870328D+04    4.6225351    0.0017836  EM
              5 -0.25870317D+04    0.0011086    0.0000004  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.18639954D+05    0.0000000    0.0000000  EM
              2 -0.29194459D+04 ************    0.8433770  EM
              3 -0.27090370D+04  210.4089280    0.0720715  EM
              4 -0.25975208D+04  111.5162061    0.0411645  EM
              5 -0.25871515D+04   10.3693228    0.0039920  EM
              6 -0.25870321D+04    0.1193141    0.0000461  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.13445434D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 9780.3941031    0.7274138  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.61039879D+04    0.0000000    0.0000000  EM
              2 -0.31684666D+04 2935.5212971    0.4809186  EM
              3 -0.26787685D+04  489.6980456    0.1545536  EM
              4 -0.22062614D+04  472.5071395    0.1763897  EM
              5 -0.21830819D+04   23.1794724    0.0105062  EM
              6 -0.21830814D+04    0.0004956    0.0000002  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.10003869D+05    0.0000000    0.0000000  EM
              2 -0.23146574D+04 7689.2119208    0.7686238  EM
              3 -0.21831096D+04  131.5478836    0.0568325  EM
              4 -0.21830814D+04    0.0281349    0.0000129  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.10979481D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 7314.4415813    0.6661919  EM
              3 -0.36650397D+04    0.0000029    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.14620800D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 ************    0.7493270  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.87380637D+04    0.0000000    0.0000000  EM
              2 -0.28701842D+04 5867.8794870    0.6715309  EM
              3 -0.26885447D+04  181.6394609    0.0632849  EM
              4 -0.23372589D+04  351.2858560    0.1306602  EM
              5 -0.21838167D+04  153.4421254    0.0656505  EM
              6 -0.21830820D+04    0.7347289    0.0003364  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.11329347D+05    0.0000000    0.0000000  EM
              2 -0.26206378D+04 8708.7096479    0.7686859  EM
              3 -0.25880117D+04   32.6260774    0.0124497  EM
              4 -0.25874395D+04    0.5722096    0.0002211  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.18327353D+05    0.0000000    0.0000000  EM
              2 -0.36650480D+04 ************    0.8000231  EM
              3 -0.36650307D+04    0.0172927    0.0000047  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.88273732D+04    0.0000000    0.0000000  EM
              2 -0.36531626D+04 5174.2105911    0.5861552  EM
              3 -0.36342418D+04   18.9207929    0.0051793  EM
              4 -0.36127538D+04   21.4880734    0.0059127  EM
              5 -0.35705919D+04   42.1618859    0.0116703  EM
              6 -0.34686518D+04  101.9400919    0.0285499  EM
              7 -0.31687821D+04  299.8697026    0.0864514  EM
              8 -0.26290311D+04  539.7509901    0.1703339  EM
              9 -0.25870364D+04   41.9946593    0.0159734  EM
             10 -0.25870317D+04    0.0047478    0.0000018  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.12321473D+05    0.0000000    0.0000000  EM
              2 -0.36603836D+04 8661.0891267    0.7029265  EM
              3 -0.36541623D+04    6.2213938    0.0016997  EM
              4 -0.36479700D+04    6.1922188    0.0016946  EM
              5 -0.36381922D+04    9.7777878    0.0026803  EM
              6 -0.36211876D+04   17.0046828    0.0046739  EM
              7 -0.35884273D+04   32.7602796    0.0090468  EM
              8 -0.35143941D+04   74.0331965    0.0206311  EM
              9 -0.33072304D+04  207.1637070    0.0589472  EM
             10 -0.27766969D+04  530.5334550    0.1604162  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.17603306D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 ************    0.7917982  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.98384380D+04    0.0000000    0.0000000  EM
              2 -0.36650397D+04 6173.3983921    0.6274775  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.14449518D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 ************    0.7463556  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.15794761D+05    0.0000000    0.0000000  EM
              2 -0.36650397D+04 ************    0.7679585  EM
              3 -0.36650397D+04    0.0000000    0.0000000  EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


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


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


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


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


              6 -0.21830820D+04    0.7347289    0.0003364  EM
              7 -0.21830814D+04    0.0005858    0.0000003  EM
              8 -0.21830814D+04    0.0000003    0.0000000  EM
              9 -0.21830814D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


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


     Beginning Time:  23:13:10
        Ending Time:  23:13:10
       Elapsed Time:  00:00:00



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