Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:19 PM

INPUT INSTRUCTIONS

  title:
  	this is an example of a GMM with a
  	categorical distal outcome using automatic
  	starting values and random starts

  montecarlo:
  	names are y1-y4 u x;
  	generate = u(1);
  	categorical = u;
  	genclasses = c(2);
  	classes = c(2);
  	nobs = 500;
  	seed = 3454367;
  	nrep = 1;
  	save = ex8.6.dat;

  analysis:
  	type = mixture;

  model population:

  	%overall%

  	[x@0]; x@1;

  	y1-y4*.5;
  	i s | y1@0 y2@1 y3@2 y4@3;
  	i*1; s*.5;

  	c#1 on x*1;
  	i on x*1;
  	s on x*.3;

  	%c#1%
  	[i*2 s*1];
  	[u$1*-1];

  	%c#2%
  	[i*0 s*0];
  	[u$1*1];

  model:
  	
  	%overall%

  	y1-y4*.5;
  	i s | y1@0 y2@1 y3@2 y4@3;
  	i*1; s*.5;

  	c#1 on x*1;
  	i on x*1;
  	s on x*.3;

  	%c#1%
  	[i*2 s*1];
  	[u$1*-1];

  	%c#2%
  	[i*0 s*0];
  	[u$1*1];



  output:
  	tech8 tech9;



INPUT READING TERMINATED NORMALLY




this is an example of a GMM with a
categorical distal outcome using automatic
starting values and random starts

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of replications
    Requested                                                    1
    Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    5
Number of independent variables                                  1
Number of continuous latent variables                            2
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4

  Binary and ordered categorical (ordinal)
   U

Observed independent variables
   X

Continuous latent variables
   I           S

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
Link                                                         LOGIT


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              0.878         1.424         1.810         2.301        -0.060


           Covariances
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             4.378
 Y2             5.010         7.832
 Y3             6.272         9.587        13.350
 Y4             7.259        11.475        15.742        19.964
 X              1.374         1.961         2.535         3.012         0.982


           Correlations
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.856         1.000
 Y3             0.820         0.938         1.000
 Y4             0.776         0.918         0.964         1.000
 X              0.663         0.707         0.700         0.680         1.000




MODEL FIT INFORMATION

Number of Free Parameters                       17

Loglikelihood

    H0 Value

        Mean                             -3693.340
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        -3693.340      -3693.340
           0.980       0.000        -3693.340      -3693.340
           0.950       0.000        -3693.340      -3693.340
           0.900       0.000        -3693.340      -3693.340
           0.800       0.000        -3693.340      -3693.340
           0.700       0.000        -3693.340      -3693.340
           0.500       0.000        -3693.340      -3693.340
           0.300       0.000        -3693.340      -3693.340
           0.200       0.000        -3693.340      -3693.340
           0.100       0.000        -3693.340      -3693.340
           0.050       0.000        -3693.340      -3693.340
           0.020       0.000        -3693.340      -3693.340
           0.010       0.000        -3693.340      -3693.340

Information Criteria

    Akaike (AIC)

        Mean                              7420.680
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         7420.680       7420.680
           0.980       0.000         7420.680       7420.680
           0.950       0.000         7420.680       7420.680
           0.900       0.000         7420.680       7420.680
           0.800       0.000         7420.680       7420.680
           0.700       0.000         7420.680       7420.680
           0.500       0.000         7420.680       7420.680
           0.300       0.000         7420.680       7420.680
           0.200       0.000         7420.680       7420.680
           0.100       0.000         7420.680       7420.680
           0.050       0.000         7420.680       7420.680
           0.020       0.000         7420.680       7420.680
           0.010       0.000         7420.680       7420.680

    Bayesian (BIC)

        Mean                              7492.328
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         7492.328       7492.328
           0.980       0.000         7492.328       7492.328
           0.950       0.000         7492.328       7492.328
           0.900       0.000         7492.328       7492.328
           0.800       0.000         7492.328       7492.328
           0.700       0.000         7492.328       7492.328
           0.500       0.000         7492.328       7492.328
           0.300       0.000         7492.328       7492.328
           0.200       0.000         7492.328       7492.328
           0.100       0.000         7492.328       7492.328
           0.050       0.000         7492.328       7492.328
           0.020       0.000         7492.328       7492.328
           0.010       0.000         7492.328       7492.328

    Sample-Size Adjusted BIC (n* = (n + 2) / 24)

        Mean                              7438.369
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         7438.369       7438.369
           0.980       0.000         7438.369       7438.369
           0.950       0.000         7438.369       7438.369
           0.900       0.000         7438.369       7438.369
           0.800       0.000         7438.369       7438.369
           0.700       0.000         7438.369       7438.369
           0.500       0.000         7438.369       7438.369
           0.300       0.000         7438.369       7438.369
           0.200       0.000         7438.369       7438.369
           0.100       0.000         7438.369       7438.369
           0.050       0.000         7438.369       7438.369
           0.020       0.000         7438.369       7438.369
           0.010       0.000         7438.369       7438.369

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

    Pearson Chi-Square

        Mean                                 0.000
        Std Dev                              0.000
        Degrees of freedom                       0
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000            0.000          0.000
           0.980       0.000            0.000          0.000
           0.950       0.000            0.000          0.000
           0.900       0.000            0.000          0.000
           0.800       0.000            0.000          0.000
           0.700       0.000            0.000          0.000
           0.500       0.000            0.000          0.000
           0.300       0.000            0.000          0.000
           0.200       0.000            0.000          0.000
           0.100       0.000            0.000          0.000
           0.050       0.000            0.000          0.000
           0.020       0.000            0.000          0.000
           0.010       0.000            0.000          0.000

    Likelihood Ratio Chi-Square

        Mean                                 0.000
        Std Dev                              0.000
        Degrees of freedom                       0
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000            0.000          0.000
           0.980       0.000            0.000          0.000
           0.950       0.000            0.000          0.000
           0.900       0.000            0.000          0.000
           0.800       0.000            0.000          0.000
           0.700       0.000            0.000          0.000
           0.500       0.000            0.000          0.000
           0.300       0.000            0.000          0.000
           0.200       0.000            0.000          0.000
           0.100       0.000            0.000          0.000
           0.050       0.000            0.000          0.000
           0.020       0.000            0.000          0.000
           0.010       0.000            0.000          0.000



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

    Latent
   Classes

       1        245.28672          0.49057
       2        254.71328          0.50943


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

    Latent
   Classes

       1        245.28666          0.49057
       2        254.71334          0.50943


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

Class Counts and Proportions

    Latent
   Classes

       1              249          0.49800
       2              251          0.50200


CLASSIFICATION QUALITY

     Entropy                         0.691


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

           1        2

    1   0.904    0.096
    2   0.081    0.919


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

           1        2

    1   0.917    0.083
    2   0.094    0.906


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

              1        2

    1      2.407    0.000
    2     -2.264    0.000


MODEL RESULTS

                              ESTIMATES              S. E.     M. S. E.  95%  % Sig
                 Population   Average   Std. Dev.   Average             Cover Coeff
Latent Class 1

 I        |
  Y1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

 S        |
  Y1                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  2.000     2.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  3.000     3.0000     0.0000     0.0000     0.0000 1.000 0.000

 I          ON
  X                   1.000     1.0141     0.0000     0.0954     0.0002 1.000 1.000

 S          ON
  X                   0.300     0.3130     0.0000     0.0450     0.0002 1.000 1.000

 S        WITH
  I                   0.000     0.0068     0.0000     0.0513     0.0000 1.000 0.000

 Intercepts
  Y1                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  I                   2.000     1.9047     0.0000     0.1134     0.0091 1.000 1.000
  S                   1.000     1.0463     0.0000     0.0670     0.0021 1.000 1.000

 Thresholds
  U$1                -1.000    -0.9817     0.0000     0.1946     0.0003 1.000 1.000

 Residual Variances
  Y1                  0.500     0.6080     0.0000     0.0722     0.0117 1.000 1.000
  Y2                  0.500     0.5539     0.0000     0.0438     0.0029 1.000 1.000
  Y3                  0.500     0.4330     0.0000     0.0510     0.0045 1.000 1.000
  Y4                  0.500     0.5934     0.0000     0.1025     0.0087 1.000 1.000
  I                   1.000     1.2020     0.0000     0.1477     0.0408 1.000 1.000
  S                   0.500     0.4154     0.0000     0.0487     0.0072 1.000 1.000

Latent Class 2

 I        |
  Y1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

 S        |
  Y1                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  2.000     2.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  3.000     3.0000     0.0000     0.0000     0.0000 1.000 0.000

 I          ON
  X                   1.000     1.0141     0.0000     0.0954     0.0002 1.000 1.000

 S          ON
  X                   0.300     0.3130     0.0000     0.0450     0.0002 1.000 1.000

 S        WITH
  I                   0.000     0.0068     0.0000     0.0513     0.0000 1.000 0.000

 Intercepts
  Y1                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y3                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y4                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  I                   0.000     0.0626     0.0000     0.1469     0.0039 1.000 0.000
  S                   0.000    -0.0601     0.0000     0.0629     0.0036 1.000 0.000

 Thresholds
  U$1                 1.000     1.0188     0.0000     0.1660     0.0004 1.000 1.000

 Residual Variances
  Y1                  0.500     0.6080     0.0000     0.0722     0.0117 1.000 1.000
  Y2                  0.500     0.5539     0.0000     0.0438     0.0029 1.000 1.000
  Y3                  0.500     0.4330     0.0000     0.0510     0.0045 1.000 1.000
  Y4                  0.500     0.5934     0.0000     0.1025     0.0087 1.000 1.000
  I                   1.000     1.2020     0.0000     0.1477     0.0408 1.000 1.000
  S                   0.500     0.4154     0.0000     0.0487     0.0072 1.000 1.000

Categorical Latent Variables

 C#1        ON
  X                   1.000     1.0954     0.0000     0.1912     0.0091 1.000 1.000

 Intercepts
  C#1                 0.000     0.0186     0.0000     0.1674     0.0003 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.784E-03
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1                  0             0             0             0             0


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1                 0             0             0
 Y2                 0             0             0
 Y3                 0             0             0
 Y4                 0             0             0
 X                  0             0             0


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1                 1
 Y2                 0             2
 Y3                 0             0             3
 Y4                 0             0             0             4
 X                  0             0             0             0             0


           ALPHA
              I             S             X
              ________      ________      ________
 1                  5             6             0


           BETA
              I             S             X
              ________      ________      ________
 I                  0             0             7
 S                  0             0             8
 X                  0             0             0


           PSI
              I             S             X
              ________      ________      ________
 I                  9
 S                 10            11
 X                  0             0             0


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1                  0             0             0             0             0


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1                 0             0             0
 Y2                 0             0             0
 Y3                 0             0             0
 Y4                 0             0             0
 X                  0             0             0


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1                 1
 Y2                 0             2
 Y3                 0             0             3
 Y4                 0             0             0             4
 X                  0             0             0             0             0


           ALPHA
              I             S             X
              ________      ________      ________
 1                 12            13             0


           BETA
              I             S             X
              ________      ________      ________
 I                  0             0             7
 S                  0             0             8
 X                  0             0             0


           PSI
              I             S             X
              ________      ________      ________
 I                  9
 S                 10            11
 X                  0             0             0


     PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U$1
              ________
 1                 14


           TAU(U) FOR LATENT CLASS 2
              U$1
              ________
 1                 15


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 16             0


           GAMMA(C)
              X
              ________
 C#1               17
 C#2                0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1             1.000         0.000         0.000
 Y2             1.000         1.000         0.000
 Y3             1.000         2.000         0.000
 Y4             1.000         3.000         0.000
 X              0.000         0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 X              0.000         0.000         0.000         0.000         0.000


           ALPHA
              I             S             X
              ________      ________      ________
 1              2.000         1.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         1.000
 S              0.000         0.000         0.300
 X              0.000         0.000         0.000


           PSI
              I             S             X
              ________      ________      ________
 I              1.000
 S              0.000         0.500
 X              0.000         0.000         0.500


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1             1.000         0.000         0.000
 Y2             1.000         1.000         0.000
 Y3             1.000         2.000         0.000
 Y4             1.000         3.000         0.000
 X              0.000         0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 X              0.000         0.000         0.000         0.000         0.000


           ALPHA
              I             S             X
              ________      ________      ________
 1              0.000         0.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         1.000
 S              0.000         0.000         0.300
 X              0.000         0.000         0.000


           PSI
              I             S             X
              ________      ________      ________
 I              1.000
 S              0.000         0.500
 X              0.000         0.000         0.500


     STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U$1
              ________
 1             -1.000


           TAU(U) FOR LATENT CLASS 2
              U$1
              ________
 1              1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


           GAMMA(C)
              X
              ________
 C#1            1.000
 C#2            0.000


     POPULATION VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1             1.000         0.000         0.000
 Y2             1.000         1.000         0.000
 Y3             1.000         2.000         0.000
 Y4             1.000         3.000         0.000
 X              0.000         0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 X              0.000         0.000         0.000         0.000         0.000


           ALPHA
              I             S             X
              ________      ________      ________
 1              2.000         1.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         1.000
 S              0.000         0.000         0.300
 X              0.000         0.000         0.000


           PSI
              I             S             X
              ________      ________      ________
 I              1.000
 S              0.000         0.500
 X              0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              I             S             X
              ________      ________      ________
 Y1             1.000         0.000         0.000
 Y2             1.000         1.000         0.000
 Y3             1.000         2.000         0.000
 Y4             1.000         3.000         0.000
 X              0.000         0.000         1.000


           THETA
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             0.500
 Y2             0.000         0.500
 Y3             0.000         0.000         0.500
 Y4             0.000         0.000         0.000         0.500
 X              0.000         0.000         0.000         0.000         0.000


           ALPHA
              I             S             X
              ________      ________      ________
 1              0.000         0.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         1.000
 S              0.000         0.000         0.300
 X              0.000         0.000         0.000


           PSI
              I             S             X
              ________      ________      ________
 I              1.000
 S              0.000         0.500
 X              0.000         0.000         1.000


     POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U$1
              ________
 1             -1.000


           TAU(U) FOR LATENT CLASS 2
              U$1
              ________
 1              1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


           GAMMA(C)
              X
              ________
 C#1            1.000
 C#2            0.000


TECHNICAL 8 OUTPUT


  TECHNICAL 8 OUTPUT FOR REPLICATION 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.37001969D+04    0.0000000    0.0000000    243.987   256.013    EM
     2 -0.36943862D+04    5.8106241    0.0015704    244.846   255.154    EM
     3 -0.36938129D+04    0.5733354    0.0001552    245.335   254.665    EM
     4 -0.36935628D+04    0.2500933    0.0000677    245.612   254.388    EM
     5 -0.36934497D+04    0.1131127    0.0000306    245.759   254.241    EM
     6 -0.36933966D+04    0.0530806    0.0000144    245.823   254.177    EM
     7 -0.36933706D+04    0.0260465    0.0000071    245.836   254.164    EM
     8 -0.36933572D+04    0.0133987    0.0000036    245.817   254.183    EM
     9 -0.36933500D+04    0.0072129    0.0000020    245.779   254.221    EM
    10 -0.36933459D+04    0.0040457    0.0000011    245.731   254.269    EM
    11 -0.36933436D+04    0.0023507    0.0000006    245.681   254.319    EM
    12 -0.36933422D+04    0.0014067    0.0000004    245.631   254.369    EM
    13 -0.36933413D+04    0.0008621    0.0000002    245.584   254.416    EM
    14 -0.36933408D+04    0.0005385    0.0000001    245.541   254.459    EM
    15 -0.36933404D+04    0.0003415    0.0000001    245.502   254.498    EM
    16 -0.36933402D+04    0.0002191    0.0000001    245.469   254.531    EM
    17 -0.36933401D+04    0.0001420    0.0000000    245.439   254.561    EM
    18 -0.36933400D+04    0.0000925    0.0000000    245.414   254.586    EM
    19 -0.36933399D+04    0.0000606    0.0000000    245.393   254.607    EM
    20 -0.36933399D+04    0.0000399    0.0000000    245.375   254.625    EM
    21 -0.36933398D+04    0.0000263    0.0000000    245.360   254.640    EM
    22 -0.36933398D+04    0.0000174    0.0000000    245.347   254.653    EM
    23 -0.36933398D+04    0.0000115    0.0000000    245.336   254.664    EM
    24 -0.36933398D+04    0.0000077    0.0000000    245.328   254.672    EM
    25 -0.36933398D+04    0.0000051    0.0000000    245.320   254.680    EM
    26 -0.36933398D+04    0.0000034    0.0000000    245.314   254.686    EM
    27 -0.36933398D+04    0.0000023    0.0000000    245.309   254.691    EM
    28 -0.36933398D+04    0.0000015    0.0000000    245.305   254.695    EM
    29 -0.36933398D+04    0.0000010    0.0000000    245.302   254.698    EM
    30 -0.36933398D+04    0.0000007    0.0000000    245.299   254.701    EM
    31 -0.36933398D+04    0.0000004    0.0000000    245.297   254.703    EM
    32 -0.36933398D+04    0.0000003    0.0000000    245.295   254.705    EM
    33 -0.36933398D+04    0.0000002    0.0000000    245.293   254.707    EM
    34 -0.36933398D+04    0.0000001    0.0000000    245.292   254.708    EM
    35 -0.36933398D+04    0.0000001    0.0000000    245.291   254.709    EM
    36 -0.36933398D+04    0.0000001    0.0000000    245.290   254.710    EM
    37 -0.36933398D+04    0.0000000    0.0000000    245.289   254.711    EM
    38 -0.36933398D+04    0.0000000    0.0000000    245.289   254.711    EM
    39 -0.36933398D+04    0.0000000    0.0000000    245.287   254.713    FS
    40 -0.36933398D+04    0.0000000    0.0000000    245.287   254.713    FS


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    U
    Y1
    Y2
    Y3
    Y4
    X
    C

  Save file
    ex8.6.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  17:19:08
        Ending Time:  17:19:08
       Elapsed Time:  00:00:00



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