Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012  10:57 PM

INPUT INSTRUCTIONS

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






*** WARNING in VARIABLE command
  Variable G, used in KNOWNCLASS specification, has been removed from the
  USEVARIABLES list.  Subsequent errors may occur if this variable is used
  elsewhere.
*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



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

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1000

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

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4

Categorical latent variables
   CG          C

  Knownclass            CG


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

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


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

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

           -6273.830  195873           6
           -6273.830  107446           12
           -6273.830  93468            3
           -6273.830  650371           14



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


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       19

Loglikelihood

          H0 Value                       -6273.830
          H0 Scaling Correction Factor      0.9749
            for MLR

Information Criteria

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



MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER

   CG  C

  Latent Class Variable Patterns

         CG         C
      Class     Class

         1         1
         1         2
         2         1
         2         2


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

  Latent Class
    Pattern

   1 1        386.99755          0.38700
   1 2        126.00245          0.12600
   2 1        235.02308          0.23502
   2 2        251.97692          0.25198


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

  Latent Class
    Variable    Class

    CG             1       513.00000          0.51300
                   2       487.00000          0.48700
    C              1       622.02063          0.62202
                   2       377.97937          0.37798


LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL

  CG Classes (Rows) by C Classes (Columns)

            1        2

   1     0.754    0.246
   2     0.483    0.517


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

  Latent Class
    Pattern

   1 1        386.99756          0.38700
   1 2        126.00244          0.12600
   2 1        235.02308          0.23502
   2 2        251.97692          0.25198


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

  Latent Class
    Variable    Class

    CG             1       513.00000          0.51300
                   2       487.00000          0.48700
    C              1       622.02063          0.62202
                   2       377.97937          0.37798


CLASSIFICATION QUALITY

     Entropy                         0.980


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN

Class Counts and Proportions

  Latent Class
    Pattern

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


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

  Latent Class Variable Patterns

  Latent Class         CG         C
   Pattern No.      Class     Class

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

           1        2        3        4

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


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

  Latent Class
    Variable    Class

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


MODEL RESULTS

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

Latent Class Pattern 1 1

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

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

Latent Class Pattern 1 2

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

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

Latent Class Pattern 2 1

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

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

Latent Class Pattern 2 2

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

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

Categorical Latent Variables

 C#1      ON
    CG#1               1.192      0.140      8.502      0.000

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


QUALITY OF NUMERICAL RESULTS

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


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1


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


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


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2


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


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


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1


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


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


     PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2


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


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


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


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


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


     STARTING VALUES FOR LATENT CLASS PATTERN 1 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -0.878        -0.883        -0.912        -0.909


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.815
 Y2             0.000         0.772
 Y3             0.000         0.000         0.845
 Y4             0.000         0.000         0.000         0.853


     STARTING VALUES FOR LATENT CLASS PATTERN 1 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1              0.399         0.360         0.388         0.397


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.815
 Y2             0.000         0.772
 Y3             0.000         0.000         0.845
 Y4             0.000         0.000         0.000         0.853


     STARTING VALUES FOR LATENT CLASS PATTERN 2 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -0.878        -0.883        -0.912        -0.909


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.815
 Y2             0.000         0.772
 Y3             0.000         0.000         0.845
 Y4             0.000         0.000         0.000         0.853


     STARTING VALUES FOR LATENT CLASS PATTERN 2 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1              0.399         0.360         0.388         0.397


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             0.815
 Y2             0.000         0.772
 Y3             0.000         0.000         0.845
 Y4             0.000         0.000         0.000         0.853


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


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


TECHNICAL 8 OUTPUT


  INITIAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.67357914D+04    0.0000000    0.0000000    352.817   160.183    EM
                                                    224.308   262.692
     2 -0.63000716D+04  435.7197343    0.0646872    380.188   132.812    EM
                                                    233.821   253.179
     3 -0.62745679D+04   25.5037534    0.0040482    385.837   127.163    EM
                                                    234.852   252.148
     4 -0.62738481D+04    0.7197544    0.0001147    386.807   126.193    EM
                                                    234.995   252.005


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12548865D+05    0.0000000    0.0000000    209.952   303.048    EM
                                                    200.078   286.922
     2 -0.67431597D+04 5805.7055959    0.4626479    313.413   199.587    EM
                                                    216.320   270.680
     3 -0.63746518D+04  368.5078575    0.0546491    370.546   142.454    EM
                                                    231.987   255.013
     4 -0.62788390D+04   95.8128115    0.0150303    384.265   128.735    EM
                                                    234.638   252.362
     5 -0.62739427D+04    4.8963049    0.0007798    386.552   126.448    EM
                                                    234.960   252.040
     6 -0.62738324D+04    0.1102352    0.0000176    386.927   126.073    EM
                                                    235.012   251.988


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.21564806D+05    0.0000000    0.0000000     22.916   490.084    EM
                                                      4.303   482.697
     2 -0.73661479D+04 ************    0.6584181     50.896   462.104    EM
                                                     30.421   456.579
     3 -0.72732945D+04   92.8533414    0.0126054     90.946   422.054    EM
                                                     46.723   440.277
     4 -0.71799835D+04   93.3110823    0.0128293    164.589   348.411    EM
                                                     74.121   412.879
     5 -0.70357337D+04  144.2497891    0.0200905    241.501   271.499    EM
                                                    126.374   360.626
     6 -0.67857832D+04  249.9504536    0.0355259    312.379   200.621    EM
                                                    191.885   295.115
     7 -0.64394055D+04  346.3777475    0.0510446    363.767   149.233    EM
                                                    228.469   258.531
     8 -0.62843432D+04  155.0622827    0.0240802    382.722   130.278    EM
                                                    234.341   252.659
     9 -0.62741048D+04   10.2384003    0.0016292    386.278   126.722    EM
                                                    234.919   252.081
    10 -0.62738367D+04    0.2680468    0.0000427    386.880   126.120    EM
                                                    235.006   251.994


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18778424D+05    0.0000000    0.0000000    195.428   317.572    EM
                                                    201.132   285.868
     2 -0.74222706D+04 ************    0.6047447    203.980   309.020    EM
                                                    180.405   306.595
     3 -0.73088940D+04  113.3765765    0.0152752    232.253   280.747    EM
                                                    164.716   322.284
     4 -0.70863685D+04  222.5254822    0.0304458    290.302   222.698    EM
                                                    173.316   313.684
     5 -0.66490458D+04  437.3227560    0.0617132    347.002   165.998    EM
                                                    216.455   270.545
     6 -0.63228188D+04  326.2269693    0.0490637    377.752   135.248    EM
                                                    233.146   253.854
     7 -0.62752519D+04   47.5668939    0.0075231    385.433   127.567    EM
                                                    234.784   252.216
     8 -0.62738638D+04    1.3881206    0.0002212    386.740   126.260    EM
                                                    234.984   252.016
     9 -0.62738307D+04    0.0330339    0.0000053    386.956   126.044    EM
                                                    235.017   251.983


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18057161D+05    0.0000000    0.0000000    447.671    65.329    EM
                                                    479.184     7.816
     2 -0.73345795D+04 ************    0.5938132    436.084    76.916    EM
                                                    480.058     6.942
     3 -0.72676407D+04   66.9387932    0.0091265    392.280   120.720    EM
                                                    475.040    11.960
     4 -0.71975555D+04   70.0852455    0.0096435    331.615   181.385    EM
                                                    458.573    28.427
     5 -0.71013858D+04   96.1697168    0.0133614    273.667   239.333    EM
                                                    413.064    73.936
     6 -0.69264695D+04  174.9163303    0.0246313    218.791   294.209    EM
                                                    336.419   150.581
     7 -0.66165208D+04  309.9486183    0.0447484    167.239   345.761    EM
                                                    273.028   213.972
     8 -0.63252021D+04  291.3187265    0.0440290    135.873   377.127    EM
                                                    254.041   232.959
     9 -0.62754338D+04   49.7682640    0.0078682    127.689   385.311    EM
                                                    252.232   234.768
    10 -0.62738694D+04    1.5644823    0.0002493    126.281   386.719    EM
                                                    252.018   234.982


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12836572D+05    0.0000000    0.0000000     81.008   431.992    EM
                                                      9.360   477.640
     2 -0.73448706D+04 5491.7011424    0.4278168     86.800   426.200    EM
                                                      7.614   479.386
     3 -0.72634102D+04   81.4603852    0.0110908    130.664   382.336    EM
                                                     12.662   474.338
     4 -0.71894162D+04   73.9940352    0.0101872    189.846   323.154    EM
                                                     29.479   457.521
     5 -0.70913923D+04   98.0238984    0.0136345    245.677   267.323    EM
                                                     77.519   409.481
     6 -0.69092893D+04  182.1029213    0.0256794    299.029   213.971    EM
                                                    155.638   331.362
     7 -0.65912402D+04  318.0491675    0.0460321    349.142   163.858    EM
                                                    216.504   270.496
     8 -0.63158036D+04  275.4366006    0.0417883    378.285   134.715    EM
                                                    233.255   253.745
     9 -0.62750618D+04   40.7417651    0.0064508    385.518   127.482    EM
                                                    234.799   252.201
    10 -0.62738600D+04    1.2018032    0.0001915    386.754   126.246    EM
                                                    234.987   252.013


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.21973429D+05    0.0000000    0.0000000    271.187   241.813    EM
                                                    189.071   297.929
     2 -0.65937791D+04 ************    0.6999203    342.971   170.029    EM
                                                    221.809   265.191
     3 -0.63224374D+04  271.3416710    0.0411512    378.435   134.565    EM
                                                    233.455   253.545
     4 -0.62752770D+04   47.1604275    0.0074592    385.654   127.346    EM
                                                    234.798   252.202
     5 -0.62738567D+04    1.4202946    0.0002263    386.786   126.214    EM
                                                    234.987   252.013
     6 -0.62738305D+04    0.0262676    0.0000042    386.964   126.036    EM
                                                    235.017   251.983


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.26193538D+05    0.0000000    0.0000000    456.286    56.714    EM
                                                    392.259    94.741
     2 -0.78036946D+04 ************    0.7020756    512.992     0.008    EM
                                                    486.971     0.029
     3 -0.73511826D+04  452.5119480    0.0579869    512.964     0.036    EM
                                                    486.787     0.213
     4 -0.73497930D+04    1.3896277    0.0001890    512.846     0.154    EM
                                                    485.337     1.663
     5 -0.73402206D+04    9.5723481    0.0013024    512.360     0.640    EM
                                                    475.932    11.068
     6 -0.72942223D+04   45.9983630    0.0062666    510.497     2.503    EM
                                                    439.135    47.865
     7 -0.71588589D+04  135.3633725    0.0185576    503.588     9.412    EM
                                                    360.427   126.573
     8 -0.68038985D+04  354.9604267    0.0495834    453.084    59.916    EM
                                                    261.219   225.781
     9 -0.63866582D+04  417.2402993    0.0613237    407.769   105.231    EM
                                                    237.450   249.550
    10 -0.62794017D+04  107.2565126    0.0167938    389.972   123.028    EM
                                                    235.452   251.548


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.15047603D+05    0.0000000    0.0000000    478.633    34.367    EM
                                                    415.145    71.855
     2 -0.70235410D+04 8024.0620118    0.5332452    457.227    55.773    EM
                                                    324.609   162.391
     3 -0.65952050D+04  428.3359933    0.0609858    421.837    91.163    EM
                                                    247.082   239.918
     4 -0.63020802D+04  293.1248119    0.0444451    394.695   118.305    EM
                                                    236.032   250.968
     5 -0.62746056D+04   27.4746227    0.0043596    388.169   124.831    EM
                                                    235.199   251.801
     6 -0.62738493D+04    0.7563477    0.0001205    387.189   125.811    EM
                                                    235.052   251.948


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.23586943D+05    0.0000000    0.0000000    388.050   124.950    EM
                                                    287.406   199.594
     2 -0.64411112D+04 ************    0.7269205    395.125   117.875    EM
                                                    238.956   248.044
     3 -0.62772041D+04  163.9070462    0.0254470    388.771   124.229    EM
                                                    235.288   251.712
     4 -0.62738852D+04    3.3189184    0.0005287    387.283   125.717    EM
                                                    235.066   251.934
     5 -0.62738311D+04    0.0540888    0.0000086    387.044   125.956    EM
                                                    235.030   251.970


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12923978D+05    0.0000000    0.0000000    511.034     1.966    EM
                                                    486.335     0.665
     2 -0.73078210D+04 5616.1571424    0.4345533    502.864    10.136    EM
                                                    440.736    46.264
     3 -0.71415264D+04  166.2946143    0.0227557    486.601    26.399    EM
                                                    361.165   125.835
     4 -0.67723948D+04  369.1315158    0.0516880    444.862    68.138    EM
                                                    260.380   226.620
     5 -0.63661598D+04  406.2350346    0.0599840    403.977   109.023    EM
                                                    237.198   249.802
     6 -0.62776707D+04   88.4890896    0.0138999    389.549   123.451    EM
                                                    235.388   251.612
     7 -0.62739237D+04    3.7470123    0.0005969    387.415   125.585    EM
                                                    235.084   251.916
     8 -0.62738324D+04    0.0913380    0.0000146    387.067   125.933    EM
                                                    235.033   251.967


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.25256180D+05    0.0000000    0.0000000    343.060   169.940    EM
                                                    221.259   265.741
     2 -0.63806477D+04 ************    0.7473629    372.498   140.502    EM
                                                    233.172   253.828
     3 -0.62786269D+04  102.0207872    0.0159891    384.512   128.488    EM
                                                    234.656   252.344
     4 -0.62739441D+04    4.6828563    0.0007458    386.580   126.420    EM
                                                    234.957   252.043
     5 -0.62738325D+04    0.1115720    0.0000178    386.930   126.070    EM
                                                    235.012   251.988


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14459197D+05    0.0000000    0.0000000    409.370   103.630    EM
                                                    250.508   236.492
     2 -0.63348506D+04 8124.3466861    0.5618809    393.800   119.200    EM
                                                    236.727   250.273
     3 -0.62756768D+04   59.1738617    0.0093410    388.170   124.830    EM
                                                    235.284   251.716
     4 -0.62738697D+04    1.8070400    0.0002879    387.195   125.805    EM
                                                    235.063   251.937
     5 -0.62738308D+04    0.0389486    0.0000062    387.031   125.969    EM
                                                    235.029   251.971


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22450393D+05    0.0000000    0.0000000    269.879   243.121    EM
                                                    410.967    76.033
     2 -0.70550587D+04 ************    0.6857490    231.772   281.228    EM
                                                    358.038   128.962
     3 -0.67448493D+04  310.2093844    0.0439698    182.799   330.201    EM
                                                    287.330   199.670
     4 -0.63925079D+04  352.3414257    0.0522386    142.554   370.446    EM
                                                    256.182   230.818
     5 -0.62789320D+04  113.5759167    0.0177670    128.956   384.044    EM
                                                    252.443   234.557
     6 -0.62739592D+04    4.9727978    0.0007920    126.503   386.497    EM
                                                    252.050   234.950
     7 -0.62738333D+04    0.1258866    0.0000201    126.085   386.915    EM
                                                    251.989   235.011


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.30593750D+05    0.0000000    0.0000000    437.083    75.917    EM
                                                    324.112   162.888
     2 -0.67155835D+04 ************    0.7804917    420.344    92.656    EM
                                                    253.347   233.653
     3 -0.63198240D+04  395.7595182    0.0589315    396.388   116.612    EM
                                                    236.422   250.578
     4 -0.62752037D+04   44.6202931    0.0070604    388.500   124.500    EM
                                                    235.260   251.740
     5 -0.62738657D+04    1.3379823    0.0002132    387.247   125.753    EM
                                                    235.062   251.938
     6 -0.62738308D+04    0.0348886    0.0000056    387.039   125.961    EM
                                                    235.030   251.970


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18413239D+05    0.0000000    0.0000000    416.434    96.566    EM
                                                    278.581   208.419
     2 -0.64838308D+04 ************    0.6478712    401.148   111.852    EM
                                                    239.689   247.311
     3 -0.62810582D+04  202.7726938    0.0312736    389.692   123.308    EM
                                                    235.360   251.640
     4 -0.62739383D+04    7.1198666    0.0011335    387.396   125.604    EM
                                                    235.080   251.920
     5 -0.62738321D+04    0.1061926    0.0000169    387.061   125.939    EM
                                                    235.032   251.968


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.23043263D+05    0.0000000    0.0000000    273.512   239.488    EM
                                                    302.839   184.161
     2 -0.77419928D+04 ************    0.6640236    484.411    28.589    EM
                                                    362.763   124.237
     3 -0.74264878D+04  315.5050259    0.0407524    473.219    39.781    EM
                                                    374.428   112.572
     4 -0.73187169D+04  107.7708854    0.0145117    449.957    63.043    EM
                                                    377.242   109.758
     5 -0.72122833D+04  106.4336349    0.0145427    385.402   127.598    EM
                                                    360.353   126.647
     6 -0.70046387D+04  207.6445839    0.0287904    279.902   233.098    EM
                                                    321.281   165.719
     7 -0.66838846D+04  320.7540887    0.0457917    189.678   323.322    EM
                                                    274.869   212.131
     8 -0.63602859D+04  323.5987574    0.0484148    141.152   371.848    EM
                                                    254.902   232.098
     9 -0.62776847D+04   82.6011396    0.0129870    128.591   384.409    EM
                                                    252.351   234.649
    10 -0.62739266D+04    3.7581594    0.0005987    126.434   386.566    EM
                                                    252.039   234.961


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22149647D+05    0.0000000    0.0000000     26.127   486.873    EM
                                                      1.711   485.289
     2 -0.73646246D+04 ************    0.6675060      0.000   513.000    EM
                                                     26.035   460.965
     3 -0.72738812D+04   90.7434788    0.0123215      0.000   513.000    EM
                                                     79.346   407.654
     4 -0.70204666D+04  253.4145443    0.0348390      0.000   513.000    EM
                                                    198.192   288.808
     5 -0.67246431D+04  295.8235184    0.0421373      0.000   513.000    EM
                                                    243.535   243.465
     6 -0.66371014D+04   87.5416819    0.0130180      0.000   513.000    EM
                                                    250.153   236.847
     7 -0.66352826D+04    1.8187801    0.0002740      0.000   513.000    EM
                                                    250.577   236.423
     8 -0.66352758D+04    0.0068675    0.0000010      0.000   513.000    EM
                                                    250.610   236.390


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11840516D+05    0.0000000    0.0000000    509.642     3.358    EM
                                                    484.599     2.401
     2 -0.73431549D+04 4497.3615833    0.3798282    507.384     5.616    EM
                                                    479.454     7.546
     3 -0.73020614D+04   41.0935110    0.0055962    499.487    13.513    EM
                                                    450.716    36.284
     4 -0.71706108D+04  131.4505058    0.0180018    483.508    29.492    EM
                                                    377.599   109.401
     5 -0.68120818D+04  358.5290005    0.0499998    446.672    66.328    EM
                                                    263.482   223.518
     6 -0.63793505D+04  432.7313368    0.0635241    405.454   107.546    EM
                                                    237.538   249.462
     7 -0.62784109D+04  100.9395987    0.0158229    389.771   123.229    EM
                                                    235.425   251.575
     8 -0.62739412D+04    4.4697573    0.0007119    387.451   125.549    EM
                                                    235.090   251.910
     9 -0.62738328D+04    0.1083370    0.0000173    387.073   125.927    EM
                                                    235.034   251.966


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.18085254D+05    0.0000000    0.0000000    300.096   212.904    EM
                                                    438.412    48.588
     2 -0.71749971D+04 ************    0.6032681    268.388   244.612    EM
                                                    405.818    81.182
     3 -0.69536818D+04  221.3153407    0.0308454    220.682   292.318    EM
                                                    336.269   150.731
     4 -0.66350232D+04  318.6585485    0.0458259    169.136   343.864    EM
                                                    273.387   213.613
     5 -0.63306505D+04  304.3726733    0.0458736    136.325   376.675    EM
                                                    254.115   232.885
     6 -0.62756247D+04   55.0258057    0.0086920    127.744   385.256    EM
                                                    252.252   234.748
     7 -0.62738728D+04    1.7518937    0.0002792    126.289   386.711    EM
                                                    252.021   234.979
     8 -0.62738310D+04    0.0418837    0.0000067    126.049   386.951    EM
                                                    251.984   235.016


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22424613D+05    0.0000000    0.0000000    279.975   233.025    EM
                                                    278.966   208.034
     2 -0.70989712D+04 ************    0.6834295    440.590    72.410    EM
                                                    227.239   259.761
     3 -0.64327109D+04  666.2602635    0.0938531    398.776   114.224    EM
                                                    235.093   251.907
     4 -0.62771146D+04  155.5963635    0.0241883    388.921   124.079    EM
                                                    235.213   251.787
     5 -0.62738963D+04    3.2182941    0.0005127    387.314   125.686    EM
                                                    235.065   251.935
     6 -0.62738315D+04    0.0647084    0.0000103    387.051   125.949    EM
                                                    235.031   251.969


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


     9 -0.62738307D+04    0.0330339    0.0000053    386.956   126.044    EM
                                                    235.017   251.983
    10 -0.62738299D+04    0.0008520    0.0000001    386.991   126.009    EM
                                                    235.022   251.978
    11 -0.62738299D+04    0.0000232    0.0000000    386.996   126.004    EM
                                                    235.023   251.977
    12 -0.62738299D+04    0.0000006    0.0000000    386.997   126.003    EM
                                                    235.023   251.977
    13 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


     6 -0.62738305D+04    0.0262676    0.0000042    386.964   126.036    EM
                                                    235.017   251.983
     7 -0.62738299D+04    0.0005718    0.0000001    386.992   126.008    EM
                                                    235.022   251.978
     8 -0.62738299D+04    0.0000144    0.0000000    386.997   126.003    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000004    0.0000000    386.997   126.003    EM
                                                    235.023   251.977
    10 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


     5 -0.62738308D+04    0.0389486    0.0000062    387.031   125.969    EM
                                                    235.029   251.971
     6 -0.62738299D+04    0.0008868    0.0000001    387.003   125.997    EM
                                                    235.024   251.976
     7 -0.62738299D+04    0.0000218    0.0000000    386.999   126.001    EM
                                                    235.023   251.977
     8 -0.62738299D+04    0.0000006    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


     6 -0.62738308D+04    0.0348886    0.0000056    387.039   125.961    EM
                                                    235.030   251.970
     7 -0.62738299D+04    0.0009445    0.0000002    387.005   125.995    EM
                                                    235.024   251.976
     8 -0.62738299D+04    0.0000261    0.0000000    386.999   126.001    EM
                                                    235.023   251.977
     9 -0.62738299D+04    0.0000007    0.0000000    386.998   126.002    EM
                                                    235.023   251.977
    10 -0.62738299D+04    0.0000000    0.0000000    386.998   126.002    EM
                                                    235.023   251.977


     Beginning Time:  22:57:19
        Ending Time:  22:57:20
       Elapsed Time:  00:00:01



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