Mplus VERSION 7.2
MUTHEN & MUTHEN
05/07/2014   2:04 PM

INPUT INSTRUCTIONS

  title:
  	this is an example of a SEM mixture model

  montecarlo:
  	names are y1-y6;
  	genclasses = c(2);
  	classes = c(2);
  	nobs = 1000;
  	seed = 3454367;
  	nrep = 1;
  	save = ex7.20.dat;

  analysis:
  	type = mixture;

  model population:

  	%overall%

  	y1-y6*.25;
  	f1 by y1@1 y2-y3*.75;
  	f2 by y4@1 y5-y6*.85;
  	[f1-f2@0];
  	f1-f2*1;
  	f2 on f1*.5;

  	[c#1*0];
  	
  	%c#1%
  	[f1*1 f2*-2];
  	f2 on f1*-.5;

  model:
  	
  	%overall%

  	y1-y6*.25;
  	f1 by y1@1 y2-y3*.75;
  	f2 by y4@1 y5-y6*.85;
  	[f1-f2@0];
  	f1-f2*1;
  	f2 on f1*.5;

  	[c#1*0];
  	
  	%c#1%
  	[f1*1 f2*-2];
  	f2 on f1*-.5;

  output:
  	tech8 tech9;
  	
  	
  	

  	
  	



INPUT READING TERMINATED NORMALLY




this is an example of a SEM mixture model

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        1000

Number of replications
    Requested                                                    1
    Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    6
Number of independent variables                                  0
Number of continuous latent variables                            2
Number of categorical latent variables                           1

Observed dependent variables

  Continuous
   Y1          Y2          Y3          Y4          Y5          Y6

Continuous latent variables
   F1          F2

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


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.447         0.312         0.324        -1.302        -1.080


           Means
              Y6
              ________
 1             -1.111


           Covariances
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.552
 Y2             0.945         0.931
 Y3             0.958         0.690         0.969
 Y4            -0.611        -0.401        -0.453         2.785
 Y5            -0.520        -0.355        -0.370         2.202         2.147
 Y6            -0.548        -0.376        -0.411         2.199         1.906


           Covariances
              Y6
              ________
 Y6             2.140


           Correlations
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.786         1.000
 Y3             0.781         0.726         1.000
 Y4            -0.294        -0.249        -0.276         1.000
 Y5            -0.285        -0.251        -0.257         0.900         1.000
 Y6            -0.301        -0.266        -0.286         0.900         0.889


           Correlations
              Y6
              ________
 Y6             1.000




MODEL FIT INFORMATION

Number of Free Parameters                       23

Loglikelihood

    H0 Value

        Mean                             -7076.192
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        -7076.192      -7076.192
           0.980       0.000        -7076.192      -7076.192
           0.950       0.000        -7076.192      -7076.192
           0.900       0.000        -7076.192      -7076.192
           0.800       0.000        -7076.192      -7076.192
           0.700       0.000        -7076.192      -7076.192
           0.500       0.000        -7076.192      -7076.192
           0.300       0.000        -7076.192      -7076.192
           0.200       0.000        -7076.192      -7076.192
           0.100       0.000        -7076.192      -7076.192
           0.050       0.000        -7076.192      -7076.192
           0.020       0.000        -7076.192      -7076.192
           0.010       0.000        -7076.192      -7076.192

Information Criteria

    Akaike (AIC)

        Mean                             14198.384
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        14198.384      14198.384
           0.980       0.000        14198.384      14198.384
           0.950       0.000        14198.384      14198.384
           0.900       0.000        14198.384      14198.384
           0.800       0.000        14198.384      14198.384
           0.700       0.000        14198.384      14198.384
           0.500       0.000        14198.384      14198.384
           0.300       0.000        14198.384      14198.384
           0.200       0.000        14198.384      14198.384
           0.100       0.000        14198.384      14198.384
           0.050       0.000        14198.384      14198.384
           0.020       0.000        14198.384      14198.384
           0.010       0.000        14198.384      14198.384

    Bayesian (BIC)

        Mean                             14311.263
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        14311.263      14311.263
           0.980       0.000        14311.263      14311.263
           0.950       0.000        14311.263      14311.263
           0.900       0.000        14311.263      14311.263
           0.800       0.000        14311.263      14311.263
           0.700       0.000        14311.263      14311.263
           0.500       0.000        14311.263      14311.263
           0.300       0.000        14311.263      14311.263
           0.200       0.000        14311.263      14311.263
           0.100       0.000        14311.263      14311.263
           0.050       0.000        14311.263      14311.263
           0.020       0.000        14311.263      14311.263
           0.010       0.000        14311.263      14311.263

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

        Mean                             14238.213
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        14238.213      14238.213
           0.980       0.000        14238.213      14238.213
           0.950       0.000        14238.213      14238.213
           0.900       0.000        14238.213      14238.213
           0.800       0.000        14238.213      14238.213
           0.700       0.000        14238.213      14238.213
           0.500       0.000        14238.213      14238.213
           0.300       0.000        14238.213      14238.213
           0.200       0.000        14238.213      14238.213
           0.100       0.000        14238.213      14238.213
           0.050       0.000        14238.213      14238.213
           0.020       0.000        14238.213      14238.213
           0.010       0.000        14238.213      14238.213



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

    Latent
   Classes

       1        516.55694          0.51656
       2        483.44306          0.48344


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

    Latent
   Classes

       1        516.55693          0.51656
       2        483.44307          0.48344


CLASSIFICATION QUALITY

     Entropy                         0.587


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              493          0.49300
       2              507          0.50700


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

           1        2

    1   0.899    0.101
    2   0.144    0.856


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

           1        2

    1   0.858    0.142
    2   0.103    0.897


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

              1        2

    1      1.801    0.000
    2     -2.167    0.000


MODEL RESULTS

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

 F1       BY
  Y1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  0.750     0.7194     0.0000     0.0198     0.0009 1.000 1.000
  Y3                  0.750     0.7291     0.0000     0.0206     0.0004 1.000 1.000

 F2       BY
  Y4                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y5                  0.850     0.8657     0.0000     0.0143     0.0002 1.000 1.000
  Y6                  0.850     0.8654     0.0000     0.0129     0.0002 1.000 1.000

 F2         ON
  F1                 -0.500    -0.4841     0.0000     0.0672     0.0003 1.000 1.000

 Means
  F1                  1.000     0.9435     0.0000     0.1164     0.0032 1.000 1.000

 Intercepts
  Y1                  0.000    -0.0405     0.0000     0.0623     0.0016 1.000 0.000
  Y2                  0.000    -0.0390     0.0000     0.0463     0.0015 1.000 0.000
  Y3                  0.000    -0.0312     0.0000     0.0473     0.0010 1.000 0.000
  Y4                  0.000    -0.0919     0.0000     0.0775     0.0084 1.000 0.000
  Y5                  0.000    -0.0324     0.0000     0.0677     0.0011 1.000 0.000
  Y6                  0.000    -0.0637     0.0000     0.0679     0.0041 1.000 0.000
  F2                 -2.000    -1.8857     0.0000     0.1250     0.0131 1.000 1.000

 Variances
  F1                  1.000     1.0918     0.0000     0.0709     0.0084 1.000 1.000

 Residual Variances
  Y1                  0.250     0.2375     0.0000     0.0227     0.0002 1.000 1.000
  Y2                  0.250     0.2512     0.0000     0.0155     0.0000 1.000 1.000
  Y3                  0.250     0.2705     0.0000     0.0177     0.0004 1.000 1.000
  Y4                  0.250     0.2429     0.0000     0.0186     0.0001 1.000 1.000
  Y5                  0.250     0.2418     0.0000     0.0159     0.0001 1.000 1.000
  Y6                  0.250     0.2364     0.0000     0.0155     0.0002 1.000 1.000
  F2                  1.000     0.9589     0.0000     0.0648     0.0017 1.000 1.000

Latent Class 2

 F1       BY
  Y1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y2                  0.750     0.7194     0.0000     0.0198     0.0009 1.000 1.000
  Y3                  0.750     0.7291     0.0000     0.0206     0.0004 1.000 1.000

 F2       BY
  Y4                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  Y5                  0.850     0.8657     0.0000     0.0143     0.0002 1.000 1.000
  Y6                  0.850     0.8654     0.0000     0.0129     0.0002 1.000 1.000

 F2         ON
  F1                  0.500     0.3941     0.0000     0.0545     0.0112 1.000 1.000

 Means
  F1                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Intercepts
  Y1                  0.000    -0.0405     0.0000     0.0623     0.0016 1.000 0.000
  Y2                  0.000    -0.0390     0.0000     0.0463     0.0015 1.000 0.000
  Y3                  0.000    -0.0312     0.0000     0.0473     0.0010 1.000 0.000
  Y4                  0.000    -0.0919     0.0000     0.0775     0.0084 1.000 0.000
  Y5                  0.000    -0.0324     0.0000     0.0677     0.0011 1.000 0.000
  Y6                  0.000    -0.0637     0.0000     0.0679     0.0041 1.000 0.000
  F2                  0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Variances
  F1                  1.000     1.0918     0.0000     0.0709     0.0084 1.000 1.000

 Residual Variances
  Y1                  0.250     0.2375     0.0000     0.0227     0.0002 1.000 1.000
  Y2                  0.250     0.2512     0.0000     0.0155     0.0000 1.000 1.000
  Y3                  0.250     0.2705     0.0000     0.0177     0.0004 1.000 1.000
  Y4                  0.250     0.2429     0.0000     0.0186     0.0001 1.000 1.000
  Y5                  0.250     0.2418     0.0000     0.0159     0.0001 1.000 1.000
  Y6                  0.250     0.2364     0.0000     0.0155     0.0002 1.000 1.000
  F2                  1.000     0.9589     0.0000     0.0648     0.0017 1.000 1.000

Categorical Latent Variables

 Means
  C#1                 0.000     0.0663     0.0000     0.1236     0.0044 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.118E-02
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                  1             2             3             4             5


           NU
              Y6
              ________
 1                  6


           LAMBDA
              F1            F2
              ________      ________
 Y1                 0             0
 Y2                 7             0
 Y3                 8             0
 Y4                 0             0
 Y5                 0             9
 Y6                 0            10


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                11
 Y2                 0            12
 Y3                 0             0            13
 Y4                 0             0             0            14
 Y5                 0             0             0             0            15
 Y6                 0             0             0             0             0


           THETA
              Y6
              ________
 Y6                16


           ALPHA
              F1            F2
              ________      ________
 1                 17            18


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                19             0


           PSI
              F1            F2
              ________      ________
 F1                20
 F2                 0            21


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1                  1             2             3             4             5


           NU
              Y6
              ________
 1                  6


           LAMBDA
              F1            F2
              ________      ________
 Y1                 0             0
 Y2                 7             0
 Y3                 8             0
 Y4                 0             0
 Y5                 0             9
 Y6                 0            10


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                11
 Y2                 0            12
 Y3                 0             0            13
 Y4                 0             0             0            14
 Y5                 0             0             0             0            15
 Y6                 0             0             0             0             0


           THETA
              Y6
              ________
 Y6                16


           ALPHA
              F1            F2
              ________      ________
 1                  0             0


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                22             0


           PSI
              F1            F2
              ________      ________
 F1                20
 F2                 0            21


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 23             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6
              ________
 1              0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             0.750         0.000
 Y3             0.750         0.000
 Y4             0.000         1.000
 Y5             0.000         0.850
 Y6             0.000         0.850


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.250
 Y2             0.000         0.250
 Y3             0.000         0.000         0.250
 Y4             0.000         0.000         0.000         0.250
 Y5             0.000         0.000         0.000         0.000         0.250
 Y6             0.000         0.000         0.000         0.000         0.000


           THETA
              Y6
              ________
 Y6             0.250


           ALPHA
              F1            F2
              ________      ________
 1              1.000        -2.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2            -0.500         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.000         1.000


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6
              ________
 1              0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             0.750         0.000
 Y3             0.750         0.000
 Y4             0.000         1.000
 Y5             0.000         0.850
 Y6             0.000         0.850


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.250
 Y2             0.000         0.250
 Y3             0.000         0.000         0.250
 Y4             0.000         0.000         0.000         0.250
 Y5             0.000         0.000         0.000         0.000         0.250
 Y6             0.000         0.000         0.000         0.000         0.000


           THETA
              Y6
              ________
 Y6             0.250


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.500         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.000         1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


     POPULATION VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6
              ________
 1              0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             0.750         0.000
 Y3             0.750         0.000
 Y4             0.000         1.000
 Y5             0.000         0.850
 Y6             0.000         0.850


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.250
 Y2             0.000         0.250
 Y3             0.000         0.000         0.250
 Y4             0.000         0.000         0.000         0.250
 Y5             0.000         0.000         0.000         0.000         0.250
 Y6             0.000         0.000         0.000         0.000         0.000


           THETA
              Y6
              ________
 Y6             0.250


           ALPHA
              F1            F2
              ________      ________
 1              1.000        -2.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2            -0.500         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.000         1.000


     POPULATION VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              Y6
              ________
 1              0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             1.000         0.000
 Y2             0.750         0.000
 Y3             0.750         0.000
 Y4             0.000         1.000
 Y5             0.000         0.850
 Y6             0.000         0.850


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.250
 Y2             0.000         0.250
 Y3             0.000         0.000         0.250
 Y4             0.000         0.000         0.000         0.250
 Y5             0.000         0.000         0.000         0.000         0.250
 Y6             0.000         0.000         0.000         0.000         0.000


           THETA
              Y6
              ________
 Y6             0.250


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.500         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.000         1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


TECHNICAL 8 OUTPUT


  TECHNICAL 8 OUTPUT FOR REPLICATION 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.70866512D+04    0.0000000    0.0000000    505.374   494.626    EM
     2 -0.70765515D+04   10.0997349    0.0014252    506.050   493.950    EM
     3 -0.70763580D+04    0.1934084    0.0000273    506.793   493.207    EM
     4 -0.70762868D+04    0.0712578    0.0000101    507.618   492.382    EM
     5 -0.70762547D+04    0.0320500    0.0000045    508.460   491.540    EM
     6 -0.70762374D+04    0.0173182    0.0000024    509.272   490.728    EM
     7 -0.70762265D+04    0.0109595    0.0000015    510.030   489.970    EM
     8 -0.70762188D+04    0.0077107    0.0000011    510.724   489.276    EM
     9 -0.70762130D+04    0.0057546    0.0000008    511.353   488.647    EM
    10 -0.70762086D+04    0.0044236    0.0000006    511.918   488.082    EM
    11 -0.70762051D+04    0.0034495    0.0000005    512.425   487.575    EM
    12 -0.70762024D+04    0.0027088    0.0000004    512.877   487.123    EM
    13 -0.70762003D+04    0.0021346    0.0000003    513.280   486.720    EM
    14 -0.70761986D+04    0.0016854    0.0000002    513.640   486.360    EM
    15 -0.70761973D+04    0.0013321    0.0000002    513.960   486.040    EM
    16 -0.70761962D+04    0.0010537    0.0000001    514.245   485.755    EM
    17 -0.70761954D+04    0.0008339    0.0000001    514.498   485.502    EM
    18 -0.70761947D+04    0.0006601    0.0000001    514.724   485.276    EM
    19 -0.70761942D+04    0.0005228    0.0000001    514.925   485.075    EM
    20 -0.70761938D+04    0.0004141    0.0000001    515.104   484.896    EM
    21 -0.70761934D+04    0.0003281    0.0000000    515.263   484.737    EM
    22 -0.70761932D+04    0.0002600    0.0000000    515.405   484.595    EM
    23 -0.70761930D+04    0.0002060    0.0000000    515.531   484.469    EM
    24 -0.70761928D+04    0.0001633    0.0000000    515.643   484.357    EM
    25 -0.70761927D+04    0.0001294    0.0000000    515.743   484.257    EM
    26 -0.70761926D+04    0.0001026    0.0000000    515.832   484.168    EM
    27 -0.70761925D+04    0.0000814    0.0000000    515.912   484.088    EM
    28 -0.70761924D+04    0.0000645    0.0000000    515.982   484.018    EM
    29 -0.70761924D+04    0.0000512    0.0000000    516.045   483.955    EM
    30 -0.70761924D+04    0.0000406    0.0000000    516.101   483.899    EM
    31 -0.70761923D+04    0.0000322    0.0000000    516.151   483.849    EM
    32 -0.70761923D+04    0.0000255    0.0000000    516.196   483.804    EM
    33 -0.70761923D+04    0.0000202    0.0000000    516.235   483.765    EM
    34 -0.70761923D+04    0.0000161    0.0000000    516.270   483.730    EM
    35 -0.70761922D+04    0.0000127    0.0000000    516.302   483.698    EM
    36 -0.70761922D+04    0.0000101    0.0000000    516.330   483.670    EM
    37 -0.70761922D+04    0.0000362    0.0000000    516.587   483.413    FS
    38 -0.70761922D+04    0.0000022    0.0000000    516.542   483.458    FS
    39 -0.70761922D+04    0.0000003    0.0000000    516.562   483.438    FS
    40 -0.70761922D+04    0.0000001    0.0000000    516.555   483.445    FS
    41 -0.70761922D+04    0.0000000    0.0000000    516.558   483.442    FS
    42 -0.70761922D+04    0.0000000    0.0000000    516.557   483.443    FS


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    Y1
    Y2
    Y3
    Y4
    Y5
    Y6
    C

  Save file
    ex7.20.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  14:04:58
        Ending Time:  14:04:58
       Elapsed Time:  00:00:00



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