Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:50 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


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        239.38233          0.47876
       2        260.61767          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                  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
              ________      ________      ________      ________
 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 REGRESSION MODEL PART


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


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -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              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
              ________      ________
 1              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 -0.33525703D+04    0.0000000    0.0000000    243.686   256.314    EM
     2 -0.31775830D+04  174.9872557    0.0521950    241.219   258.781    EM
     3 -0.31772184D+04    0.3646106    0.0001147    240.168   259.832    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.56028710D+04    0.0000000    0.0000000    205.447   294.553    EM
     2 -0.31993785D+04 2403.4924857    0.4289752    224.502   275.498    EM
     3 -0.31805010D+04   18.8775624    0.0059004    233.100   266.900    EM
     4 -0.31777530D+04    2.7480191    0.0008640    236.707   263.293    EM
     5 -0.31772721D+04    0.4808627    0.0001513    238.237   261.763    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.87651210D+04    0.0000000    0.0000000      9.120   490.880    EM
     2 -0.35398409D+04 5225.2801255    0.5961447     15.248   484.752    EM
     3 -0.35243612D+04   15.4796489    0.0043730     31.139   468.861    EM
     4 -0.34969924D+04   27.3688224    0.0077656     61.232   438.768    EM
     5 -0.34451686D+04   51.8237951    0.0148195    107.904   392.096    EM
     6 -0.33578241D+04   87.3445308    0.0253528    162.420   337.580    EM
     7 -0.32530517D+04  104.7723687    0.0312025    204.387   295.613    EM
     8 -0.31933083D+04   59.7433699    0.0183653    225.058   274.942    EM
     9 -0.31798653D+04   13.4430666    0.0042098    233.452   266.548    EM
    10 -0.31776608D+04    2.2044529    0.0006933    236.879   263.121    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.78478567D+04    0.0000000    0.0000000    146.307   353.693    EM
     2 -0.34106210D+04 4437.2357283    0.5654073    179.971   320.029    EM
     3 -0.32477025D+04  162.9184496    0.0477680    213.315   286.685    EM
     4 -0.31872262D+04   60.4763865    0.0186213    229.181   270.819    EM
     5 -0.31785139D+04    8.7122802    0.0027335    235.274   264.726    EM
     6 -0.31773953D+04    1.1185920    0.0003519    237.673   262.327    EM
     7 -0.31772048D+04    0.1904403    0.0000599    238.660   261.340    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.73643872D+04    0.0000000    0.0000000    464.458    35.542    EM
     2 -0.35626961D+04 3801.6910272    0.5162264    472.211    27.789    EM
     3 -0.35344870D+04   28.2091130    0.0079179    459.555    40.445    EM
     4 -0.34996676D+04   34.8194250    0.0098513    429.049    70.951    EM
     5 -0.34507707D+04   48.8968599    0.0139719    384.237   115.763    EM
     6 -0.33774476D+04   73.3231724    0.0212483    330.375   169.625    EM
     7 -0.32804181D+04   97.0294725    0.0287286    282.928   217.072    EM
     8 -0.32041424D+04   76.2757127    0.0232518    256.606   243.394    EM
     9 -0.31811730D+04   22.9694302    0.0071687    246.127   253.873    EM
    10 -0.31777798D+04    3.3931215    0.0010666    242.106   257.894    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.59972606D+04    0.0000000    0.0000000    107.269   392.731    EM
     2 -0.34010816D+04 2596.1790210    0.4328941    154.096   345.904    EM
     3 -0.32741058D+04  126.9757464    0.0373339    198.797   301.203    EM
     4 -0.31995087D+04   74.5971160    0.0227840    222.633   277.367    EM
     5 -0.31808395D+04   18.6691523    0.0058350    232.521   267.479    EM
     6 -0.31778174D+04    3.0221341    0.0009501    236.506   263.494    EM
     7 -0.31772845D+04    0.5329444    0.0001677    238.161   261.839    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10910270D+05    0.0000000    0.0000000    215.118   284.882    EM
     2 -0.31955290D+04 7714.7405839    0.7071082    229.688   270.312    EM
     3 -0.31790314D+04   16.4975973    0.0051627    235.716   264.284    EM
     4 -0.31773598D+04    1.6716932    0.0005258    237.919   262.081    EM
     5 -0.31771928D+04    0.1669958    0.0000526    238.776   261.224    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11330264D+05    0.0000000    0.0000000    294.826   205.174    EM
     2 -0.32348145D+04 8095.4492689    0.7144979    261.504   238.496    EM
     3 -0.31848079D+04   50.0066098    0.0154589    247.245   252.755    EM
     4 -0.31779460D+04    6.8618967    0.0021546    242.346   257.654    EM
     5 -0.31772755D+04    0.6705231    0.0002110    240.564   259.436    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.73230362D+04    0.0000000    0.0000000    447.689    52.311    EM
     2 -0.34832687D+04 3839.7675625    0.5243409    415.344    84.656    EM
     3 -0.34290756D+04   54.1931168    0.0155581    368.068   131.932    EM
     4 -0.33493281D+04   79.7474645    0.0232563    314.637   185.363    EM
     5 -0.32529749D+04   96.3532399    0.0287679    272.814   227.186    EM
     6 -0.31930469D+04   59.9279099    0.0184225    252.377   247.623    EM
     7 -0.31794323D+04   13.6146278    0.0042638    244.517   255.483    EM
     8 -0.31775245D+04    1.9078398    0.0006001    241.474   258.526    EM
     9 -0.31772244D+04    0.3000448    0.0000944    240.252   259.748    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11631074D+05    0.0000000    0.0000000    277.358   222.642    EM
     2 -0.32106671D+04 8420.4073384    0.7239578    253.866   246.134    EM
     3 -0.31804839D+04   30.1831835    0.0094009    244.816   255.184    EM
     4 -0.31775658D+04    2.9181063    0.0009175    241.554   258.446    EM
     5 -0.31772288D+04    0.3370583    0.0001061    240.280   259.720    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.60175159D+04    0.0000000    0.0000000    499.213     0.787    EM
     2 -0.35499485D+04 2467.5673431    0.4100641    498.519     1.481    EM
     3 -0.35477408D+04    2.2077652    0.0006219    495.923     4.077    EM
     4 -0.35427375D+04    5.0033029    0.0014103    489.891    10.109    EM
     5 -0.35335291D+04    9.2083626    0.0025992    478.613    21.387    EM
     6 -0.35179639D+04   15.5651997    0.0044050    459.308    40.692    EM
     7 -0.34917411D+04   26.2227962    0.0074540    428.523    71.477    EM
     8 -0.34478223D+04   43.9187971    0.0125779    384.445   115.555    EM
     9 -0.33775329D+04   70.2893785    0.0203866    331.313   168.687    EM
    10 -0.32826624D+04   94.8705864    0.0280887    283.799   216.201    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13051193D+05    0.0000000    0.0000000    268.884   231.116    EM
     2 -0.31985216D+04 9852.6716622    0.7549250    251.195   248.805    EM
     3 -0.31795364D+04   18.9851678    0.0059356    244.196   255.804    EM
     4 -0.31775159D+04    2.0204728    0.0006355    241.390   258.610    EM
     5 -0.31772230D+04    0.2929596    0.0000922    240.229   259.771    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.79579752D+04    0.0000000    0.0000000    276.938   223.062    EM
     2 -0.32082672D+04 4749.7079736    0.5968488    252.493   247.507    EM
     3 -0.31799268D+04   28.3403780    0.0088335    243.876   256.124    EM
     4 -0.31774151D+04    2.5117128    0.0007899    241.066   258.934    EM
     5 -0.31771983D+04    0.2168470    0.0000682    240.053   259.947    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.93266537D+04    0.0000000    0.0000000    344.226   155.774    EM
     2 -0.35651122D+04 5761.5414969    0.6177501    347.607   152.393    EM
     3 -0.34609213D+04  104.1909361    0.0292251    320.033   179.967    EM
     4 -0.33087484D+04  152.1728918    0.0439689    279.827   220.173    EM
     5 -0.32043725D+04  104.3759291    0.0315454    255.092   244.908    EM
     6 -0.31804608D+04   23.9116923    0.0074622    245.401   254.599    EM
     7 -0.31776394D+04    2.8213561    0.0008871    241.786   258.214    EM
     8 -0.31772420D+04    0.3974498    0.0001251    240.371   259.629    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13792980D+05    0.0000000    0.0000000    331.689   168.311    EM
     2 -0.33133991D+04 ************    0.7597764    285.172   214.828    EM
     3 -0.32099748D+04  103.4242899    0.0312140    257.086   242.914    EM
     4 -0.31814142D+04   28.5606027    0.0088975    246.001   253.999    EM
     5 -0.31777270D+04    3.6872350    0.0011590    241.973   258.027    EM
     6 -0.31772524D+04    0.4745909    0.0001493    240.435   259.565    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.92048919D+04    0.0000000    0.0000000    299.320   200.680    EM
     2 -0.32613138D+04 5943.5780116    0.6456978    269.625   230.375    EM
     3 -0.31950164D+04   66.2974836    0.0203285    251.706   248.294    EM
     4 -0.31794676D+04   15.5487739    0.0048666    244.401   255.599    EM
     5 -0.31775281D+04    1.9394762    0.0006100    241.461   258.539    EM
     6 -0.31772255D+04    0.3025900    0.0000952    240.254   259.746    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.98789921D+04    0.0000000    0.0000000    306.277   193.723    EM
     2 -0.33911942D+04 6487.7978628    0.6567267    283.042   216.958    EM
     3 -0.32296456D+04  161.5486551    0.0476377    258.394   241.606    EM
     4 -0.31831809D+04   46.4646068    0.0143869    246.911   253.089    EM
     5 -0.31779639D+04    5.2170155    0.0016389    242.443   257.557    EM
     6 -0.31772966D+04    0.6673396    0.0002100    240.653   259.347    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.75913417D+04    0.0000000    0.0000000      1.460   498.540    EM
     2 -0.35462137D+04 4045.1280392    0.5328608      2.833   497.167    EM
     3 -0.35441610D+04    2.0526641    0.0005788      4.663   495.337    EM
     4 -0.35413308D+04    2.8301768    0.0007985      8.574   491.426    EM
     5 -0.35344052D+04    6.9255914    0.0019556     17.786   482.214    EM
     6 -0.35185366D+04   15.8686843    0.0044898     37.224   462.776    EM
     7 -0.34861179D+04   32.4186695    0.0092137     72.013   427.987    EM
     8 -0.34255261D+04   60.5918355    0.0173809    122.392   377.608    EM
     9 -0.33293401D+04   96.1859331    0.0280792    175.709   324.291    EM
    10 -0.32305333D+04   98.8068219    0.0296776    211.787   288.213    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.65202094D+04    0.0000000    0.0000000    336.695   163.305    EM
     2 -0.33204131D+04 3199.7962859    0.4907505    289.428   210.572    EM
     3 -0.32177898D+04  102.6232847    0.0309068    258.606   241.394    EM
     4 -0.31822395D+04   35.5502960    0.0110480    246.487   253.513    EM
     5 -0.31778074D+04    4.4321646    0.0013928    242.159   257.841    EM
     6 -0.31772661D+04    0.5412914    0.0001703    240.513   259.487    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.80768344D+04    0.0000000    0.0000000    417.730    82.270    EM
     2 -0.34607851D+04 4616.0492247    0.5715171    375.933   124.067    EM
     3 -0.33684529D+04   92.3322201    0.0266796    321.676   178.324    EM
     4 -0.32651214D+04  103.3314968    0.0306762    276.893   223.107    EM
     5 -0.31969662D+04   68.1551640    0.0208737    254.042   245.958    EM
     6 -0.31800342D+04   16.9320165    0.0052963    245.136   254.864    EM
     7 -0.31776114D+04    2.4228259    0.0007619    241.711   258.289    EM
     8 -0.31772385D+04    0.3729015    0.0001174    240.346   259.654    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10159586D+05    0.0000000    0.0000000    294.609   205.391    EM
     2 -0.33067476D+04 6852.8383854    0.6745195    265.567   234.433    EM
     3 -0.31951550D+04  111.5925397    0.0337469    248.784   251.216    EM
     4 -0.31786670D+04   16.4880646    0.0051603    242.757   257.243    EM
     5 -0.31773170D+04    1.3499745    0.0004247    240.671   259.329    EM
     6 -0.31771840D+04    0.1330433    0.0000419    239.898   260.102    EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


     6 -0.31771840D+04    0.1330433    0.0000419    239.898   260.102    EM
     7 -0.31771656D+04    0.0183509    0.0000058    239.595   260.405    EM
     8 -0.31771626D+04    0.0030281    0.0000010    239.471   260.529    EM
     9 -0.31771620D+04    0.0005343    0.0000002    239.420   260.580    EM
    10 -0.31771619D+04    0.0000962    0.0000000    239.398   260.602    EM
    11 -0.31771619D+04    0.0000174    0.0000000    239.389   260.611    EM
    12 -0.31771619D+04    0.0000032    0.0000000    239.385   260.615    EM
    13 -0.31771619D+04    0.0000006    0.0000000    239.384   260.616    EM
    14 -0.31771619D+04    0.0000001    0.0000000    239.383   260.617    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


     5 -0.31771928D+04    0.1669958    0.0000526    238.776   261.224    EM
     6 -0.31771674D+04    0.0253515    0.0000080    239.126   260.874    EM
     7 -0.31771629D+04    0.0044867    0.0000014    239.274   260.726    EM
     8 -0.31771621D+04    0.0008155    0.0000003    239.336   260.664    EM
     9 -0.31771620D+04    0.0001486    0.0000000    239.363   260.637    EM
    10 -0.31771619D+04    0.0000271    0.0000000    239.374   260.626    EM
    11 -0.31771619D+04    0.0000049    0.0000000    239.379   260.621    EM
    12 -0.31771619D+04    0.0000009    0.0000000    239.381   260.619    EM
    13 -0.31771619D+04    0.0000002    0.0000000    239.382   260.618    EM
    14 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


     5 -0.31771983D+04    0.2168470    0.0000682    240.053   259.947    EM
     6 -0.31771681D+04    0.0301603    0.0000095    239.659   260.341    EM
     7 -0.31771630D+04    0.0050835    0.0000016    239.498   260.502    EM
     8 -0.31771621D+04    0.0009042    0.0000003    239.431   260.569    EM
     9 -0.31771620D+04    0.0001636    0.0000001    239.403   260.597    EM
    10 -0.31771619D+04    0.0000297    0.0000000    239.391   260.609    EM
    11 -0.31771619D+04    0.0000054    0.0000000    239.386   260.614    EM
    12 -0.31771619D+04    0.0000010    0.0000000    239.384   260.616    EM
    13 -0.31771619D+04    0.0000002    0.0000000    239.383   260.617    EM
    14 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


     7 -0.31772048D+04    0.1904403    0.0000599    238.660   261.340    EM
     8 -0.31771698D+04    0.0350232    0.0000110    239.075   260.925    EM
     9 -0.31771634D+04    0.0064529    0.0000020    239.252   260.748    EM
    10 -0.31771622D+04    0.0011821    0.0000004    239.327   260.673    EM
    11 -0.31771620D+04    0.0002158    0.0000001    239.359   260.641    EM
    12 -0.31771619D+04    0.0000393    0.0000000    239.372   260.628    EM
    13 -0.31771619D+04    0.0000072    0.0000000    239.378   260.622    EM
    14 -0.31771619D+04    0.0000013    0.0000000    239.381   260.619    EM
    15 -0.31771619D+04    0.0000002    0.0000000    239.382   260.618    EM
    16 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM
    17 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM


     Beginning Time:  17:50:04
        Ending Time:  17:50:04
       Elapsed Time:  00:00:00



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