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

INPUT INSTRUCTIONS

  TITLE:	this is an example of a LCA with
  	continuous latent class indicators using
  	automatic starting values with random
  	starts
  DATA:	FILE IS ex7.9.dat;
  VARIABLE:	NAMES ARE y1-y4 c;
  	USEVARIABLES ARE y1-y4;
  	CLASSES = c (2);
  ANALYSIS:	TYPE = MIXTURE;
  OUTPUT:	TECH1 TECH8;



*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



this is an example of a LCA with
continuous latent class indicators using
automatic starting values with random
starts

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    4
Number of independent variables                                  0
Number of continuous latent variables                            0
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4

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)
  ex7.9.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                    0.035       0.025      -4.054    0.20%      -1.335     -0.421     -0.003
             500.000       2.228      -0.495       3.914    0.20%       0.495      1.443
     Y2                    0.002       0.014      -3.629    0.20%      -1.287     -0.344      0.035
             500.000       2.066      -0.608       3.515    0.20%       0.396      1.328
     Y3                   -0.001       0.086      -4.511    0.20%      -1.246     -0.423     -0.057
             500.000       1.808      -0.283       3.810    0.20%       0.284      1.196
     Y4                   -0.012      -0.114      -3.505    0.20%      -1.380     -0.358      0.037
             500.000       2.080      -0.590       3.539    0.20%       0.442      1.206

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:

           -3177.162  195873           6
           -3177.162  107446           12
           -3177.162  93468            3
           -3177.162  573096           20



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                       13

Loglikelihood

          H0 Value                       -3177.162
          H0 Scaling Correction Factor      0.9709
            for MLR

Information Criteria

          Akaike (AIC)                    6380.324
          Bayesian (BIC)                  6435.114
          Sample-Size Adjusted BIC        6393.851
            (n* = (n + 2) / 24)



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

    Latent
   Classes

       1        239.38234          0.47876
       2        260.61766          0.52124


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

    Latent
   Classes

       1        239.38234          0.47876
       2        260.61766          0.52124


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

Class Counts and Proportions

    Latent
   Classes

       1              238          0.47600
       2              262          0.52400


CLASSIFICATION QUALITY

     Entropy                         0.909


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

           1        2

    1   0.977    0.023
    2   0.026    0.974


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

           1        2

    1   0.972    0.028
    2   0.021    0.979


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

              1        2

    1      3.533    0.000
    2     -3.853    0.000


MODEL RESULTS

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

Latent Class 1

 Means
    Y1                -1.056      0.070    -15.030      0.000
    Y2                -1.088      0.067    -16.255      0.000
    Y3                -0.943      0.063    -15.050      0.000
    Y4                -1.093      0.074    -14.688      0.000

 Variances
    Y1                 1.134      0.073     15.610      0.000
    Y2                 0.975      0.063     15.582      0.000
    Y3                 0.992      0.064     15.483      0.000
    Y4                 1.007      0.064     15.683      0.000

Latent Class 2

 Means
    Y1                 1.037      0.070     14.762      0.000
    Y2                 1.004      0.064     15.682      0.000
    Y3                 0.865      0.068     12.763      0.000
    Y4                 0.980      0.060     16.321      0.000

 Variances
    Y1                 1.134      0.073     15.610      0.000
    Y2                 0.975      0.063     15.582      0.000
    Y3                 0.992      0.064     15.483      0.000
    Y4                 1.007      0.064     15.683      0.000

Categorical Latent Variables

 Means
    C#1               -0.085      0.096     -0.889      0.374


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.328E+00
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                    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 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                    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 REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
                   13             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
               -1.458        -1.435        -1.345        -1.455


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.114
 Y2             0.000         1.033
 Y3             0.000         0.000         0.904
 Y4             0.000         0.000         0.000         1.040


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
                1.528         1.440         1.344         1.430


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.114
 Y2             0.000         1.033
 Y3             0.000         0.000         0.904
 Y4             0.000         0.000         0.000         1.040


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
                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 -0.33525703D+04    0.0000000    0.0000000  EM
              2 -0.31775830D+04  174.9872557    0.0521950  EM
              3 -0.31772184D+04    0.3646106    0.0001147  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.56028710D+04    0.0000000    0.0000000  EM
              2 -0.31993785D+04 2403.4924857    0.4289752  EM
              3 -0.31805010D+04   18.8775624    0.0059004  EM
              4 -0.31777530D+04    2.7480191    0.0008640  EM
              5 -0.31772721D+04    0.4808627    0.0001513  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.87651210D+04    0.0000000    0.0000000  EM
              2 -0.35398409D+04 5225.2801255    0.5961447  EM
              3 -0.35243612D+04   15.4796489    0.0043730  EM
              4 -0.34969924D+04   27.3688224    0.0077656  EM
              5 -0.34451686D+04   51.8237951    0.0148195  EM
              6 -0.33578241D+04   87.3445308    0.0253528  EM
              7 -0.32530517D+04  104.7723687    0.0312025  EM
              8 -0.31933083D+04   59.7433699    0.0183653  EM
              9 -0.31798653D+04   13.4430666    0.0042098  EM
             10 -0.31776608D+04    2.2044529    0.0006933  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.78478567D+04    0.0000000    0.0000000  EM
              2 -0.34106210D+04 4437.2357283    0.5654073  EM
              3 -0.32477025D+04  162.9184496    0.0477680  EM
              4 -0.31872262D+04   60.4763865    0.0186213  EM
              5 -0.31785139D+04    8.7122802    0.0027335  EM
              6 -0.31773953D+04    1.1185920    0.0003519  EM
              7 -0.31772048D+04    0.1904403    0.0000599  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.73643872D+04    0.0000000    0.0000000  EM
              2 -0.35626961D+04 3801.6910272    0.5162264  EM
              3 -0.35344870D+04   28.2091130    0.0079179  EM
              4 -0.34996676D+04   34.8194250    0.0098513  EM
              5 -0.34507707D+04   48.8968599    0.0139719  EM
              6 -0.33774476D+04   73.3231724    0.0212483  EM
              7 -0.32804181D+04   97.0294725    0.0287286  EM
              8 -0.32041424D+04   76.2757127    0.0232518  EM
              9 -0.31811730D+04   22.9694302    0.0071687  EM
             10 -0.31777798D+04    3.3931215    0.0010666  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.59972606D+04    0.0000000    0.0000000  EM
              2 -0.34010816D+04 2596.1790210    0.4328941  EM
              3 -0.32741058D+04  126.9757464    0.0373339  EM
              4 -0.31995087D+04   74.5971160    0.0227840  EM
              5 -0.31808395D+04   18.6691523    0.0058350  EM
              6 -0.31778174D+04    3.0221341    0.0009501  EM
              7 -0.31772845D+04    0.5329444    0.0001677  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.10910270D+05    0.0000000    0.0000000  EM
              2 -0.31955290D+04 7714.7405839    0.7071082  EM
              3 -0.31790314D+04   16.4975973    0.0051627  EM
              4 -0.31773598D+04    1.6716932    0.0005258  EM
              5 -0.31771928D+04    0.1669958    0.0000526  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.11330264D+05    0.0000000    0.0000000  EM
              2 -0.32348145D+04 8095.4492689    0.7144979  EM
              3 -0.31848079D+04   50.0066098    0.0154589  EM
              4 -0.31779460D+04    6.8618967    0.0021546  EM
              5 -0.31772755D+04    0.6705231    0.0002110  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.73230362D+04    0.0000000    0.0000000  EM
              2 -0.34832687D+04 3839.7675625    0.5243409  EM
              3 -0.34290756D+04   54.1931168    0.0155581  EM
              4 -0.33493281D+04   79.7474645    0.0232563  EM
              5 -0.32529749D+04   96.3532399    0.0287679  EM
              6 -0.31930469D+04   59.9279099    0.0184225  EM
              7 -0.31794323D+04   13.6146278    0.0042638  EM
              8 -0.31775245D+04    1.9078398    0.0006001  EM
              9 -0.31772244D+04    0.3000448    0.0000944  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.11631074D+05    0.0000000    0.0000000  EM
              2 -0.32106671D+04 8420.4073384    0.7239578  EM
              3 -0.31804839D+04   30.1831835    0.0094009  EM
              4 -0.31775658D+04    2.9181063    0.0009175  EM
              5 -0.31772288D+04    0.3370583    0.0001061  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.60175159D+04    0.0000000    0.0000000  EM
              2 -0.35499485D+04 2467.5673431    0.4100641  EM
              3 -0.35477408D+04    2.2077652    0.0006219  EM
              4 -0.35427375D+04    5.0033029    0.0014103  EM
              5 -0.35335291D+04    9.2083626    0.0025992  EM
              6 -0.35179639D+04   15.5651997    0.0044050  EM
              7 -0.34917411D+04   26.2227962    0.0074540  EM
              8 -0.34478223D+04   43.9187971    0.0125779  EM
              9 -0.33775329D+04   70.2893785    0.0203866  EM
             10 -0.32826624D+04   94.8705864    0.0280887  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.13051193D+05    0.0000000    0.0000000  EM
              2 -0.31985216D+04 9852.6716622    0.7549250  EM
              3 -0.31795364D+04   18.9851678    0.0059356  EM
              4 -0.31775159D+04    2.0204728    0.0006355  EM
              5 -0.31772230D+04    0.2929596    0.0000922  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.79579752D+04    0.0000000    0.0000000  EM
              2 -0.32082672D+04 4749.7079736    0.5968488  EM
              3 -0.31799268D+04   28.3403780    0.0088335  EM
              4 -0.31774151D+04    2.5117128    0.0007899  EM
              5 -0.31771983D+04    0.2168470    0.0000682  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.93266537D+04    0.0000000    0.0000000  EM
              2 -0.35651122D+04 5761.5414969    0.6177501  EM
              3 -0.34609213D+04  104.1909361    0.0292251  EM
              4 -0.33087484D+04  152.1728918    0.0439689  EM
              5 -0.32043725D+04  104.3759290    0.0315454  EM
              6 -0.31804608D+04   23.9116923    0.0074622  EM
              7 -0.31776394D+04    2.8213561    0.0008871  EM
              8 -0.31772420D+04    0.3974498    0.0001251  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.13792980D+05    0.0000000    0.0000000  EM
              2 -0.33133991D+04 ************    0.7597764  EM
              3 -0.32099748D+04  103.4242899    0.0312140  EM
              4 -0.31814142D+04   28.5606027    0.0088975  EM
              5 -0.31777270D+04    3.6872350    0.0011590  EM
              6 -0.31772524D+04    0.4745909    0.0001493  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.92048919D+04    0.0000000    0.0000000  EM
              2 -0.32613138D+04 5943.5780116    0.6456978  EM
              3 -0.31950164D+04   66.2974836    0.0203285  EM
              4 -0.31794676D+04   15.5487739    0.0048666  EM
              5 -0.31775281D+04    1.9394762    0.0006100  EM
              6 -0.31772255D+04    0.3025900    0.0000952  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.98789921D+04    0.0000000    0.0000000  EM
              2 -0.33911942D+04 6487.7978628    0.6567267  EM
              3 -0.32296456D+04  161.5486551    0.0476377  EM
              4 -0.31831809D+04   46.4646068    0.0143869  EM
              5 -0.31779639D+04    5.2170155    0.0016389  EM
              6 -0.31772966D+04    0.6673396    0.0002100  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.75913417D+04    0.0000000    0.0000000  EM
              2 -0.35462137D+04 4045.1280392    0.5328608  EM
              3 -0.35441610D+04    2.0526641    0.0005788  EM
              4 -0.35413308D+04    2.8301768    0.0007985  EM
              5 -0.35344052D+04    6.9255914    0.0019556  EM
              6 -0.35185366D+04   15.8686843    0.0044898  EM
              7 -0.34861179D+04   32.4186695    0.0092137  EM
              8 -0.34255261D+04   60.5918355    0.0173809  EM
              9 -0.33293401D+04   96.1859331    0.0280792  EM
             10 -0.32305333D+04   98.8068219    0.0296776  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.65202094D+04    0.0000000    0.0000000  EM
              2 -0.33204131D+04 3199.7962859    0.4907505  EM
              3 -0.32177898D+04  102.6232847    0.0309068  EM
              4 -0.31822395D+04   35.5502960    0.0110480  EM
              5 -0.31778074D+04    4.4321646    0.0013928  EM
              6 -0.31772661D+04    0.5412914    0.0001703  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.80768344D+04    0.0000000    0.0000000  EM
              2 -0.34607851D+04 4616.0492247    0.5715171  EM
              3 -0.33684529D+04   92.3322201    0.0266796  EM
              4 -0.32651214D+04  103.3314968    0.0306762  EM
              5 -0.31969662D+04   68.1551640    0.0208737  EM
              6 -0.31800342D+04   16.9320165    0.0052963  EM
              7 -0.31776114D+04    2.4228259    0.0007619  EM
              8 -0.31772385D+04    0.3729015    0.0001174  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.10159586D+05    0.0000000    0.0000000  EM
              2 -0.33067476D+04 6852.8383854    0.6745195  EM
              3 -0.31951550D+04  111.5925397    0.0337469  EM
              4 -0.31786670D+04   16.4880646    0.0051603  EM
              5 -0.31773170D+04    1.3499745    0.0004247  EM
              6 -0.31771840D+04    0.1330433    0.0000419  EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


              6 -0.31771840D+04    0.1330433    0.0000419  EM
              7 -0.31771656D+04    0.0183509    0.0000058  EM
              8 -0.31771626D+04    0.0030281    0.0000010  EM
              9 -0.31771620D+04    0.0005343    0.0000002  EM
             10 -0.31771619D+04    0.0000962    0.0000000  EM
             11 -0.31771619D+04    0.0000174    0.0000000  EM
             12 -0.31771619D+04    0.0000032    0.0000000  EM
             13 -0.31771619D+04    0.0000006    0.0000000  EM
             14 -0.31771619D+04    0.0000001    0.0000000  EM
             15 -0.31771619D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


              5 -0.31771928D+04    0.1669958    0.0000526  EM
              6 -0.31771674D+04    0.0253515    0.0000080  EM
              7 -0.31771629D+04    0.0044867    0.0000014  EM
              8 -0.31771621D+04    0.0008155    0.0000003  EM
              9 -0.31771620D+04    0.0001486    0.0000000  EM
             10 -0.31771619D+04    0.0000271    0.0000000  EM
             11 -0.31771619D+04    0.0000049    0.0000000  EM
             12 -0.31771619D+04    0.0000009    0.0000000  EM
             13 -0.31771619D+04    0.0000002    0.0000000  EM
             14 -0.31771619D+04    0.0000000    0.0000000  EM
             15 -0.31771619D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


              5 -0.31771983D+04    0.2168470    0.0000682  EM
              6 -0.31771681D+04    0.0301603    0.0000095  EM
              7 -0.31771630D+04    0.0050835    0.0000016  EM
              8 -0.31771621D+04    0.0009042    0.0000003  EM
              9 -0.31771620D+04    0.0001636    0.0000001  EM
             10 -0.31771619D+04    0.0000297    0.0000000  EM
             11 -0.31771619D+04    0.0000054    0.0000000  EM
             12 -0.31771619D+04    0.0000010    0.0000000  EM
             13 -0.31771619D+04    0.0000002    0.0000000  EM
             14 -0.31771619D+04    0.0000000    0.0000000  EM
             15 -0.31771619D+04    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


              7 -0.31772048D+04    0.1904403    0.0000599  EM
              8 -0.31771698D+04    0.0350232    0.0000110  EM
              9 -0.31771634D+04    0.0064529    0.0000020  EM
             10 -0.31771622D+04    0.0011821    0.0000004  EM
             11 -0.31771620D+04    0.0002158    0.0000001  EM
             12 -0.31771619D+04    0.0000393    0.0000000  EM
             13 -0.31771619D+04    0.0000072    0.0000000  EM
             14 -0.31771619D+04    0.0000013    0.0000000  EM
             15 -0.31771619D+04    0.0000002    0.0000000  EM
             16 -0.31771619D+04    0.0000000    0.0000000  EM
             17 -0.31771619D+04    0.0000000    0.0000000  EM


     Beginning Time:  23:13:24
        Ending Time:  23:13:24
       Elapsed Time:  00:00:00



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