Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010  10:58 PM

INPUT INSTRUCTIONS

  TITLE: mix13

          a "full" model (analysis type "D"):

          a 2-class growth mixture model with
          5 u variables as indicators of a 2-class
                  categorical latent variable c,
          5 y variables as indicators of 2
                  continuous growth factors,
          1 x covariate influencing the c variable, and
          1 w covariate influencing the growth factors

  DATA: file is full102.dat;

  VARIABLE: NAMES ARE y1 y2 y3 y4 y5 u1 u2 u3 u4 u5 x w;
            USEV ARE  y1 y2 y3 y4 y5 u1 u2 u3 u4 u5 x w;
            CATEGORICAL = u1 - u5;
            CLASSES = c(2);

  ANALYSIS: TYPE = MIXTURE;
         MITERATIONS = 25;

  MODEL:
          %OVERALL%
  !  c#1 BY u1*1 u2*1 u3*0 u4*0 u5*0;
  !  c#2 BY u1*0 u2*0 u3*-1 u4*1 u5*1;

    [u1$1*-1 u2$1*-1 u3$1*0 u4$1*0 u5$1*0];

          c#1 ON x;

  !        the above 3 statements define the latent class part
  !        of the model

          intcpt BY y1-y5@1;
          slope BY y1@0 y2@1 y3@2 y4@3 y5@4;

          [y1-y5@0];

          intcpt ON w;
          slope ON w;

  !        the above 5 statements define the linear growth model for y.
  !        The y intercepts are held fixed and equal at 0. Given this,
  !        the mean, or rather intercept, of the intercept growth factor
  !        is free.

          %c#1%
          [intcpt*0.2];
          [slope*0.6];
          intcpt ON w;
          slope ON w;

  !        the above 4 class 1 statements specify that
  !        the growth factor intercepts and regression slopes
  !        for w are allowed to be specific to class 1.
  !        The growth factor intercepts are given starting values
  !        to help find a 2-class solution

          %c#2%
    [u1$1*0 u2$1*0 u3$1*1 u4$1*-1 u5$1*-1];

          [intcpt*1.4];
          [slope*2.2];
          intcpt ON w;
          slope ON w;

  !        the above 4 class 1 statements specify that
  !        the growth factor intercepts and regression slopes
  !        for w are allowed to be specific to class 2.
  !        The growth factor intercepts are given starting values
  !        to help find a 2-class solution

  OUTPUT: tech8;





INPUT READING TERMINATED NORMALLY



mix13

a "full" model (analysis type "D"):

a 2-class growth mixture model with
5 u variables as indicators of a 2-class
categorical latent variable c,
5 y variables as indicators of 2
continuous growth factors,
1 x covariate influencing the c variable, and
1 w covariate influencing the growth factors

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         400

Number of dependent variables                                   10
Number of independent variables                                  2
Number of continuous latent variables                            2
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5

  Binary and ordered categorical (ordinal)
   U1          U2          U3          U4          U5

Observed independent variables
   X           W

Continuous latent variables
   INTCPT      SLOPE

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                                  25
  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                         10
  Number of final stage optimizations                            2
  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
Link                                                         LOGIT

Input data file(s)
  full102.dat
Input data format  FREE


UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES

    U1
      Category 1    0.382      153.000
      Category 2    0.618      247.000
    U2
      Category 1    0.447      179.000
      Category 2    0.553      221.000
    U3
      Category 1    0.610      244.000
      Category 2    0.390      156.000
    U4
      Category 1    0.410      164.000
      Category 2    0.590      236.000
    U5
      Category 1    0.522      209.000
      Category 2    0.477      191.000


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:

           -4901.577  415931           10
           -4901.577  unperturbed      0



THE MODEL ESTIMATION TERMINATED NORMALLY



TESTS OF MODEL FIT

Loglikelihood

          H0 Value                       -4901.577
          H0 Scaling Correction Factor       1.013
            for MLR

Information Criteria

          Number of Free Parameters             28
          Akaike (AIC)                    9859.154
          Bayesian (BIC)                  9970.915
          Sample-Size Adjusted BIC        9882.069
            (n* = (n + 2) / 24)

Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes

          Pearson Chi-Square

          Value                             29.834
          Degrees of Freedom                    20
          P-Value                           0.0726

          Likelihood Ratio Chi-Square

          Value                             32.306
          Degrees of Freedom                    20
          P-Value                           0.0401



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

    Latent
   Classes

       1        166.71127          0.41678
       2        233.28873          0.58322


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

    Latent
   Classes

       1        166.71128          0.41678
       2        233.28872          0.58322


CLASSIFICATION QUALITY

     Entropy                         0.899


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              166          0.41500
       2              234          0.58500


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

           1        2

    1   0.969    0.031
    2   0.025    0.975


MODEL RESULTS

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

Latent Class 1

 INTCPT   BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 1.000      0.000    999.000    999.000
    Y3                 1.000      0.000    999.000    999.000
    Y4                 1.000      0.000    999.000    999.000
    Y5                 1.000      0.000    999.000    999.000

 SLOPE    BY
    Y1                 0.000      0.000    999.000    999.000
    Y2                 1.000      0.000    999.000    999.000
    Y3                 2.000      0.000    999.000    999.000
    Y4                 3.000      0.000    999.000    999.000
    Y5                 4.000      0.000    999.000    999.000

 INTCPT     ON
    W                  0.793      0.116      6.807      0.000

 SLOPE      ON
    W                  0.133      0.050      2.679      0.007

 SLOPE    WITH
    INTCPT            -0.011      0.045     -0.238      0.812

 Intercepts
    Y1                 0.000      0.000    999.000    999.000
    Y2                 0.000      0.000    999.000    999.000
    Y3                 0.000      0.000    999.000    999.000
    Y4                 0.000      0.000    999.000    999.000
    Y5                 0.000      0.000    999.000    999.000
    INTCPT             0.176      0.104      1.697      0.090
    SLOPE              0.633      0.046     13.901      0.000

 Thresholds
    U1$1              -1.368      0.202     -6.775      0.000
    U2$1              -0.890      0.177     -5.038      0.000
    U3$1              -0.226      0.162     -1.393      0.164
    U4$1               0.435      0.164      2.657      0.008
    U5$1               1.604      0.226      7.088      0.000

 Residual Variances
    Y1                 0.958      0.109      8.778      0.000
    Y2                 1.081      0.101     10.663      0.000
    Y3                 1.064      0.090     11.811      0.000
    Y4                 1.034      0.098     10.587      0.000
    Y5                 0.973      0.154      6.315      0.000
    INTCPT             1.072      0.125      8.579      0.000
    SLOPE              0.208      0.024      8.803      0.000

Latent Class 2

 INTCPT   BY
    Y1                 1.000      0.000    999.000    999.000
    Y2                 1.000      0.000    999.000    999.000
    Y3                 1.000      0.000    999.000    999.000
    Y4                 1.000      0.000    999.000    999.000
    Y5                 1.000      0.000    999.000    999.000

 SLOPE    BY
    Y1                 0.000      0.000    999.000    999.000
    Y2                 1.000      0.000    999.000    999.000
    Y3                 2.000      0.000    999.000    999.000
    Y4                 3.000      0.000    999.000    999.000
    Y5                 4.000      0.000    999.000    999.000

 INTCPT     ON
    W                  0.685      0.090      7.630      0.000

 SLOPE      ON
    W                 -0.010      0.040     -0.258      0.797

 SLOPE    WITH
    INTCPT            -0.011      0.045     -0.238      0.812

 Intercepts
    Y1                 0.000      0.000    999.000    999.000
    Y2                 0.000      0.000    999.000    999.000
    Y3                 0.000      0.000    999.000    999.000
    Y4                 0.000      0.000    999.000    999.000
    Y5                 0.000      0.000    999.000    999.000
    INTCPT             1.439      0.085     16.879      0.000
    SLOPE              2.162      0.040     54.103      0.000

 Thresholds
    U1$1               0.043      0.134      0.324      0.746
    U2$1               0.238      0.135      1.767      0.077
    U3$1               0.988      0.150      6.568      0.000
    U4$1              -0.999      0.153     -6.534      0.000
    U5$1              -0.843      0.147     -5.738      0.000

 Residual Variances
    Y1                 0.958      0.109      8.778      0.000
    Y2                 1.081      0.101     10.663      0.000
    Y3                 1.064      0.090     11.811      0.000
    Y4                 1.034      0.098     10.587      0.000
    Y5                 0.973      0.154      6.315      0.000
    INTCPT             1.072      0.125      8.579      0.000
    SLOPE              0.208      0.024      8.803      0.000

Categorical Latent Variables

 C#1        ON
    X                 -1.460      0.204     -7.149      0.000

 Intercepts
    C#1               -0.449      0.128     -3.510      0.000


RESULTS IN PROBABILITY SCALE

Latent Class 1

 U1
    Category 1         0.203      0.033      6.213      0.000
    Category 2         0.797      0.033     24.403      0.000
 U2
    Category 1         0.291      0.036      7.986      0.000
    Category 2         0.709      0.036     19.445      0.000
 U3
    Category 1         0.444      0.040     11.097      0.000
    Category 2         0.556      0.040     13.906      0.000
 U4
    Category 1         0.607      0.039     15.551      0.000
    Category 2         0.393      0.039     10.069      0.000
 U5
    Category 1         0.833      0.032     26.395      0.000
    Category 2         0.167      0.032      5.305      0.000

Latent Class 2

 U1
    Category 1         0.511      0.033     15.288      0.000
    Category 2         0.489      0.033     14.639      0.000
 U2
    Category 1         0.559      0.033     16.838      0.000
    Category 2         0.441      0.033     13.271      0.000
 U3
    Category 1         0.729      0.030     24.500      0.000
    Category 2         0.271      0.030      9.119      0.000
 U4
    Category 1         0.269      0.030      8.955      0.000
    Category 2         0.731      0.030     24.306      0.000
 U5
    Category 1         0.301      0.031      9.733      0.000
    Category 2         0.699      0.031     22.617      0.000


LATENT CLASS ODDS RATIO RESULTS

Latent Class 1 Compared to Latent Class 2

 U1
    Category > 1       4.102      1.013      4.048      0.000
 U2
    Category > 1       3.089      0.698      4.424      0.000
 U3
    Category > 1       3.367      0.760      4.429      0.000
 U4
    Category > 1       0.239      0.055      4.360      0.000
 U5
    Category > 1       0.086      0.024      3.629      0.000


LOGISTIC REGRESSION ODDS RATIO RESULTS

Categorical Latent Variables

 C#1      ON
    X                  0.232


ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION

Parameterization using Reference Class 1

 C#2      ON
    X                  1.460      0.204      7.149      0.000

 Intercepts
    C#2                0.449      0.128      3.510      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.839E-02
       (ratio of smallest to largest eigenvalue)


TECHNICAL 8 OUTPUT


  INITIAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.56301096D+04    0.0000000    0.0000000    171.529   228.471    EM
     2 -0.49260504D+04  704.0592338    0.1250525    167.109   232.891    EM
     3 -0.49034000D+04   22.6503496    0.0045981    166.463   233.537    EM
     4 -0.49016720D+04    1.7280090    0.0003524    166.494   233.506    EM
     5 -0.49015831D+04    0.0888744    0.0000181    166.591   233.409    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.22129644D+05    0.0000000    0.0000000    243.249   156.751    EM
     2 -0.50632001D+04 ************    0.7712028    234.864   165.136    EM
     3 -0.49815003D+04   81.6997958    0.0161360    212.763   187.237    EM
     4 -0.49407485D+04   40.7518083    0.0081806    193.940   206.060    EM
     5 -0.49187163D+04   22.0321948    0.0044593    180.377   219.623    EM
     6 -0.49060978D+04   12.6185447    0.0025654    172.833   227.167    EM
     7 -0.49023392D+04    3.7585734    0.0007661    169.378   230.622    EM
     8 -0.49017013D+04    0.6379019    0.0001301    167.876   232.124    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10947874D+05    0.0000000    0.0000000     75.879   324.121    EM
     2 -0.51386633D+04 5809.2104558    0.5306245     47.244   352.756    EM
     3 -0.51093714D+04   29.2919515    0.0057003     46.602   353.398    EM
     4 -0.50950592D+04   14.3121492    0.0028012     52.900   347.100    EM
     5 -0.50769553D+04   18.1039808    0.0035532     67.164   332.836    EM
     6 -0.50556491D+04   21.3061895    0.0041966     87.838   312.162    EM
     7 -0.50332890D+04   22.3600549    0.0044228    112.366   287.634    EM
     8 -0.50101655D+04   23.1234708    0.0045941    137.915   262.085    EM
     9 -0.49868417D+04   23.3238893    0.0046553    162.257   237.743    EM
    10 -0.49639297D+04   22.9119398    0.0045945    184.059   215.941    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11348647D+05    0.0000000    0.0000000     81.783   318.217    EM
     2 -0.50410756D+04 6307.5715478    0.5557994    109.701   290.299    EM
     3 -0.49745783D+04   66.4972994    0.0131911    132.352   267.648    EM
     4 -0.49321278D+04   42.4504417    0.0085335    148.439   251.561    EM
     5 -0.49102786D+04   21.8492534    0.0044300    158.104   241.896    EM
     6 -0.49032645D+04    7.0140439    0.0014284    162.838   237.162    EM
     7 -0.49018748D+04    1.3897320    0.0002834    164.972   235.028    EM
     8 -0.49016326D+04    0.2422568    0.0000494    165.929   234.071    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.20364105D+05    0.0000000    0.0000000    180.799   219.201    EM
     2 -0.50713948D+04 ************    0.7509640    179.798   220.202    EM
     3 -0.49917725D+04   79.6222543    0.0157003    177.595   222.405    EM
     4 -0.49313899D+04   60.3825964    0.0120964    172.834   227.166    EM
     5 -0.49073774D+04   24.0125058    0.0048693    169.336   230.664    EM
     6 -0.49021947D+04    5.1827332    0.0010561    167.768   232.232    EM
     7 -0.49016290D+04    0.5657056    0.0001154    167.143   232.857    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.15558959D+05    0.0000000    0.0000000    264.167   135.833    EM
     2 -0.51149247D+04 ************    0.6712554    277.001   122.999    EM
     3 -0.51001139D+04   14.8107629    0.0028956    276.831   123.169    EM
     4 -0.50887966D+04   11.3172770    0.0022190    271.895   128.105    EM
     5 -0.50647448D+04   24.0518390    0.0047264    260.080   139.920    EM
     6 -0.50281136D+04   36.6311882    0.0072326    241.830   158.170    EM
     7 -0.49872033D+04   40.9103445    0.0081363    220.992   179.008    EM
     8 -0.49531230D+04   34.0802886    0.0068335    201.624   198.376    EM
     9 -0.49288403D+04   24.2826762    0.0049025    186.059   213.941    EM
    10 -0.49116985D+04   17.1418487    0.0034779    175.837   224.163    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.97917419D+04    0.0000000    0.0000000     49.922   350.078    EM
     2 -0.50961407D+04 4695.6012317    0.4795471     57.811   342.189    EM
     3 -0.50448173D+04   51.3233464    0.0100710     88.167   311.833    EM
     4 -0.49896373D+04   55.1800469    0.0109380    116.687   283.313    EM
     5 -0.49496033D+04   40.0339187    0.0080234    138.176   261.824    EM
     6 -0.49206091D+04   28.9942878    0.0058579    152.334   247.666    EM
     7 -0.49066812D+04   13.9278595    0.0028305    160.121   239.879    EM
     8 -0.49025353D+04    4.1459288    0.0008450    163.756   236.244    EM
     9 -0.49017494D+04    0.7858341    0.0001603    165.384   234.616    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.12691614D+05    0.0000000    0.0000000    179.228   220.772    EM
     2 -0.50899589D+04 7601.6555695    0.5989510    193.746   206.254    EM
     3 -0.50228322D+04   67.1266994    0.0131881    202.400   197.600    EM
     4 -0.49609281D+04   61.9041122    0.0123245    212.669   187.331    EM
     5 -0.49230578D+04   37.8702903    0.0076337    222.418   177.582    EM
     6 -0.49067876D+04   16.2702288    0.0033049    228.475   171.525    EM
     7 -0.49022872D+04    4.5003485    0.0009172    231.247   168.753    EM
     8 -0.49016648D+04    0.6224157    0.0001270    232.414   167.586    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16619999D+05    0.0000000    0.0000000    301.982    98.018    EM
     2 -0.50852219D+04 ************    0.6940299    275.594   124.406    EM
     3 -0.50135272D+04   71.6947033    0.0140986    244.204   155.796    EM
     4 -0.49719260D+04   41.6011626    0.0082978    218.540   181.460    EM
     5 -0.49443635D+04   27.5624848    0.0055436    198.376   201.624    EM
     6 -0.49233455D+04   21.0180605    0.0042509    183.362   216.638    EM
     7 -0.49085232D+04   14.8222382    0.0030106    174.357   225.643    EM
     8 -0.49028590D+04    5.6642250    0.0011540    170.061   229.939    EM
     9 -0.49017822D+04    1.0768454    0.0002196    168.174   231.826    EM
    10 -0.49016128D+04    0.1693211    0.0000345    167.354   232.646    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10460822D+05    0.0000000    0.0000000    153.469   246.531    EM
     2 -0.51317917D+04 5329.0304910    0.5094275    132.517   267.483    EM
     3 -0.50879729D+04   43.8188522    0.0085387    136.524   263.476    EM
     4 -0.50454781D+04   42.4947758    0.0083520    152.454   247.546    EM
     5 -0.49951841D+04   50.2939311    0.0099681    173.152   226.848    EM
     6 -0.49596117D+04   35.5724931    0.0071214    192.467   207.533    EM
     7 -0.49357332D+04   23.8784851    0.0048146    208.929   191.071    EM
     8 -0.49170469D+04   18.6862379    0.0037859    221.069   178.931    EM
     9 -0.49055334D+04   11.5135317    0.0023416    227.812   172.188    EM
    10 -0.49022190D+04    3.3143851    0.0006756    230.899   169.101    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.16575625D+05    0.0000000    0.0000000    134.241   265.759    EM
     2 -0.51088721D+04 ************    0.6917840    125.229   274.771    EM
     3 -0.50661600D+04   42.7120181    0.0083604    133.450   266.550    EM
     4 -0.50039168D+04   62.2432030    0.0122861    148.643   251.357    EM
     5 -0.49420509D+04   61.8658897    0.0123635    157.567   242.433    EM
     6 -0.49126749D+04   29.3760460    0.0059441    162.001   237.999    EM
     7 -0.49033834D+04    9.2914657    0.0018913    164.488   235.512    EM
     8 -0.49017908D+04    1.5926597    0.0003248    165.688   234.312    EM
     9 -0.49016057D+04    0.1850992    0.0000378    166.244   233.756    EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET


     5 -0.49015831D+04    0.0888744    0.0000181    166.591   233.409    EM
     6 -0.49015776D+04    0.0055326    0.0000011    166.653   233.347    EM
     7 -0.49015771D+04    0.0005330    0.0000001    166.684   233.316    EM
     8 -0.49015770D+04    0.0000714    0.0000000    166.699   233.301    EM
     9 -0.49015770D+04    0.0000117    0.0000000    166.706   233.294    EM
    10 -0.49015770D+04    0.0000021    0.0000000    166.709   233.291    EM
    11 -0.49015770D+04    0.0000004    0.0000000    166.710   233.290    EM
    12 -0.49015770D+04    0.0000001    0.0000000    166.711   233.289    EM
    13 -0.49015770D+04    0.0000000    0.0000000    166.711   233.289    EM
    14 -0.49015770D+04    0.0000000    0.0000000    166.711   233.289    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


     9 -0.49016057D+04    0.1850992    0.0000378    166.244   233.756    EM
    10 -0.49015817D+04    0.0240153    0.0000049    166.499   233.501    EM
    11 -0.49015778D+04    0.0038150    0.0000008    166.615   233.385    EM
    12 -0.49015772D+04    0.0006863    0.0000001    166.668   233.332    EM
    13 -0.49015770D+04    0.0001309    0.0000000    166.692   233.308    EM
    14 -0.49015770D+04    0.0000256    0.0000000    166.703   233.297    EM
    15 -0.49015770D+04    0.0000051    0.0000000    166.707   233.293    EM
    16 -0.49015770D+04    0.0000010    0.0000000    166.710   233.290    EM
    17 -0.49015770D+04    0.0000002    0.0000000    166.711   233.289    EM
    18 -0.49015770D+04    0.0000000    0.0000000    166.711   233.289    EM
    19 -0.49015770D+04    0.0000000    0.0000000    166.711   233.289    EM
    20 -0.49015770D+04    0.0000000    0.0000000    166.711   233.289    EM


     Beginning Time:  22:58:11
        Ending Time:  22:58:12
       Elapsed Time:  00:00:01



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