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

INPUT INSTRUCTIONS

  title:
  	this is an example of a GMM for a
  	continuous outcome using user-specified
  	starting values and random starts

  montecarlo:
  	names are y1-y4 x;
  	genclasses = c(2);
  	classes = c(2);
  	nobs = 500;
  	seed = 3454367;
  	nrep = 1;
  	save = ex8.2.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*.4;
  	s on x*.3;

  	%c#1%
  	[i*1 s*.5];

  	%c#2%
  	[i*3 s*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*.4;
  	s on x*.3;

  	%c#1%
  	[i*1 s*.5];

  	%c#2%
  	[i*3 s*1];



  output:
  	tech8 tech9;



INPUT READING TERMINATED NORMALLY




this is an example of a GMM for a
continuous outcome using user-specified
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                                    4
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

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


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 1              1.913         2.708         3.342         4.080        -0.060


           Covariances
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             2.436
 Y2             2.060         3.465
 Y3             2.225         3.678         5.420
 Y4             2.351         4.331         6.165         8.401
 X             -0.013         0.270         0.539         0.711         0.982


           Correlations
              Y1            Y2            Y3            Y4            X
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.709         1.000
 Y3             0.612         0.849         1.000
 Y4             0.520         0.803         0.914         1.000
 X             -0.008         0.146         0.234         0.248         1.000




MODEL FIT INFORMATION

Number of Free Parameters                       15

Loglikelihood

    H0 Value

        Mean                             -3337.654
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        -3337.654      -3337.654
           0.980       0.000        -3337.654      -3337.654
           0.950       0.000        -3337.654      -3337.654
           0.900       0.000        -3337.654      -3337.654
           0.800       0.000        -3337.654      -3337.654
           0.700       0.000        -3337.654      -3337.654
           0.500       0.000        -3337.654      -3337.654
           0.300       0.000        -3337.654      -3337.654
           0.200       0.000        -3337.654      -3337.654
           0.100       0.000        -3337.654      -3337.654
           0.050       0.000        -3337.654      -3337.654
           0.020       0.000        -3337.654      -3337.654
           0.010       0.000        -3337.654      -3337.654

Information Criteria

    Akaike (AIC)

        Mean                              6705.307
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         6705.307       6705.307
           0.980       0.000         6705.307       6705.307
           0.950       0.000         6705.307       6705.307
           0.900       0.000         6705.307       6705.307
           0.800       0.000         6705.307       6705.307
           0.700       0.000         6705.307       6705.307
           0.500       0.000         6705.307       6705.307
           0.300       0.000         6705.307       6705.307
           0.200       0.000         6705.307       6705.307
           0.100       0.000         6705.307       6705.307
           0.050       0.000         6705.307       6705.307
           0.020       0.000         6705.307       6705.307
           0.010       0.000         6705.307       6705.307

    Bayesian (BIC)

        Mean                              6768.526
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         6768.526       6768.526
           0.980       0.000         6768.526       6768.526
           0.950       0.000         6768.526       6768.526
           0.900       0.000         6768.526       6768.526
           0.800       0.000         6768.526       6768.526
           0.700       0.000         6768.526       6768.526
           0.500       0.000         6768.526       6768.526
           0.300       0.000         6768.526       6768.526
           0.200       0.000         6768.526       6768.526
           0.100       0.000         6768.526       6768.526
           0.050       0.000         6768.526       6768.526
           0.020       0.000         6768.526       6768.526
           0.010       0.000         6768.526       6768.526

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

        Mean                              6720.915
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000         6720.915       6720.915
           0.980       0.000         6720.915       6720.915
           0.950       0.000         6720.915       6720.915
           0.900       0.000         6720.915       6720.915
           0.800       0.000         6720.915       6720.915
           0.700       0.000         6720.915       6720.915
           0.500       0.000         6720.915       6720.915
           0.300       0.000         6720.915       6720.915
           0.200       0.000         6720.915       6720.915
           0.100       0.000         6720.915       6720.915
           0.050       0.000         6720.915       6720.915
           0.020       0.000         6720.915       6720.915
           0.010       0.000         6720.915       6720.915



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

    Latent
   Classes

       1        242.09508          0.48419
       2        257.90492          0.51581


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

    Latent
   Classes

       1        242.09480          0.48419
       2        257.90520          0.51581


CLASSIFICATION QUALITY

     Entropy                         0.557


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              236          0.47200
       2              264          0.52800


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

           1        2

    1   0.872    0.128
    2   0.138    0.862


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

           1        2

    1   0.850    0.150
    2   0.117    0.883


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

              1        2

    1      1.735    0.000
    2     -2.020    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                   0.400     0.3541     0.0000     0.1482     0.0021 1.000 1.000

 S          ON
  X                   0.300     0.3389     0.0000     0.0550     0.0015 1.000 1.000

 S        WITH
  I                   0.000    -0.0543     0.0000     0.0691     0.0029 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                   1.000     0.9162     0.0000     0.1075     0.0070 1.000 1.000
  S                   0.500     0.4559     0.0000     0.1166     0.0019 1.000 1.000

 Residual Variances
  Y1                  0.500     0.6041     0.0000     0.0730     0.0108 1.000 1.000
  Y2                  0.500     0.5566     0.0000     0.0459     0.0032 1.000 1.000
  Y3                  0.500     0.4461     0.0000     0.0525     0.0029 1.000 1.000
  Y4                  0.500     0.5599     0.0000     0.0994     0.0036 1.000 1.000
  I                   1.000     0.9783     0.0000     0.1993     0.0005 1.000 1.000
  S                   0.500     0.4280     0.0000     0.0493     0.0052 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                   0.400     0.3541     0.0000     0.1482     0.0021 1.000 1.000

 S          ON
  X                   0.300     0.3389     0.0000     0.0550     0.0015 1.000 1.000

 S        WITH
  I                   0.000    -0.0543     0.0000     0.0691     0.0029 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                   3.000     2.9447     0.0000     0.2064     0.0031 1.000 1.000
  S                   1.000     0.9920     0.0000     0.0617     0.0001 1.000 1.000

 Residual Variances
  Y1                  0.500     0.6041     0.0000     0.0730     0.0108 1.000 1.000
  Y2                  0.500     0.5566     0.0000     0.0459     0.0032 1.000 1.000
  Y3                  0.500     0.4461     0.0000     0.0525     0.0029 1.000 1.000
  Y4                  0.500     0.5599     0.0000     0.0994     0.0036 1.000 1.000
  I                   1.000     0.9783     0.0000     0.1993     0.0005 1.000 1.000
  S                   0.500     0.4280     0.0000     0.0493     0.0052 1.000 1.000

Categorical Latent Variables

 C#1        ON
  X                   1.000     0.7495     0.0000     0.3879     0.0628 1.000 0.000

 Intercepts
  C#1                 0.000    -0.0266     0.0000     0.2946     0.0007 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.946E-02
       (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 REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 14             0


           GAMMA(C)
              X
              ________
 C#1               15
 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              1.000         0.500         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         0.400
 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              3.000         1.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         0.400
 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 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              1.000         0.500         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         0.400
 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              3.000         1.000         0.000


           BETA
              I             S             X
              ________      ________      ________
 I              0.000         0.000         0.400
 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 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 -0.33443053D+04    0.0000000    0.0000000    251.483   248.517    EM
     2 -0.33381092D+04    6.1961620    0.0018528    251.465   248.535    EM
     3 -0.33380125D+04    0.0966931    0.0000290    251.199   248.801    EM
     4 -0.33379447D+04    0.0677920    0.0000203    250.851   249.149    EM
     5 -0.33378937D+04    0.0509670    0.0000153    250.452   249.548    EM
     6 -0.33378543D+04    0.0394392    0.0000118    250.025   249.975    EM
     7 -0.33378230D+04    0.0313216    0.0000094    249.585   250.415    EM
     8 -0.33377975D+04    0.0254211    0.0000076    249.145   250.855    EM
     9 -0.33377766D+04    0.0209841    0.0000063    248.713   251.287    EM
    10 -0.33377590D+04    0.0175443    0.0000053    248.294   251.706    EM
    11 -0.33377442D+04    0.0148051    0.0000044    247.893   252.107    EM
    12 -0.33377316D+04    0.0125768    0.0000038    247.510   252.490    EM
    13 -0.33377209D+04    0.0107351    0.0000032    247.148   252.852    EM
    14 -0.33377117D+04    0.0091948    0.0000028    246.807   253.193    EM
    15 -0.33377038D+04    0.0078955    0.0000024    246.486   253.514    EM
    16 -0.33376970D+04    0.0067925    0.0000020    246.186   253.814    EM
    17 -0.33376912D+04    0.0058524    0.0000018    245.904   254.096    EM
    18 -0.33376861D+04    0.0050484    0.0000015    245.642   254.358    EM
    19 -0.33376818D+04    0.0043589    0.0000013    245.396   254.604    EM
    20 -0.33376780D+04    0.0037661    0.0000011    245.168   254.832    EM
    21 -0.33376747D+04    0.0032560    0.0000010    244.955   255.045    EM
    22 -0.33376719D+04    0.0028166    0.0000008    244.756   255.244    EM
    23 -0.33376695D+04    0.0024375    0.0000007    244.572   255.428    EM
    24 -0.33376674D+04    0.0021104    0.0000006    244.400   255.600    EM
    25 -0.33376655D+04    0.0018277    0.0000005    244.240   255.760    EM
    26 -0.33376640D+04    0.0015835    0.0000005    244.091   255.909    EM
    27 -0.33376626D+04    0.0013722    0.0000004    243.952   256.048    EM
    28 -0.33376614D+04    0.0011893    0.0000004    243.824   256.176    EM
    29 -0.33376604D+04    0.0010311    0.0000003    243.704   256.296    EM
    30 -0.33376595D+04    0.0008941    0.0000003    243.592   256.408    EM
    31 -0.33376587D+04    0.0007754    0.0000002    243.489   256.511    EM
    32 -0.33376580D+04    0.0006726    0.0000002    243.392   256.608    EM
    33 -0.33376574D+04    0.0005835    0.0000002    243.302   256.698    EM
    34 -0.33376569D+04    0.0005062    0.0000002    243.219   256.781    EM
    35 -0.33376542D+04    0.0026963    0.0000008    242.554   257.446    FS
    36 -0.33376537D+04    0.0005007    0.0000002    242.337   257.663    FS
    37 -0.33376536D+04    0.0001022    0.0000000    242.186   257.814    FS
    38 -0.33376536D+04    0.0000212    0.0000000    242.162   257.838    FS
    39 -0.33376536D+04    0.0000043    0.0000000    242.100   257.900    FS
    40 -0.33376536D+04    0.0000007    0.0000000    242.122   257.878    FS
    41 -0.33376536D+04    0.0000023    0.0000000    242.116   257.884    EM
    42 -0.33376536D+04    0.0000011    0.0000000    242.112   257.888    EM
    43 -0.33376536D+04    0.0000006    0.0000000    242.109   257.891    EM
    44 -0.33376536D+04    0.0000003    0.0000000    242.106   257.894    EM
    45 -0.33376536D+04    0.0000002    0.0000000    242.104   257.896    EM
    46 -0.33376536D+04    0.0000001    0.0000000    242.102   257.898    EM
    47 -0.33376536D+04    0.0000001    0.0000000    242.101   257.899    EM
    48 -0.33376536D+04    0.0000000    0.0000000    242.100   257.900    EM
    49 -0.33376536D+04    0.0000000    0.0000000    242.099   257.901    EM
    50 -0.33376536D+04    0.0000000    0.0000000    242.098   257.902    EM
    51 -0.33376536D+04    0.0000000    0.0000000    242.098   257.902    EM
    52 -0.33376536D+04    0.0000000    0.0000000    242.097   257.903    EM
    53 -0.33376536D+04    0.0000000    0.0000000    242.097   257.903    EM
    54 -0.33376536D+04    0.0000000    0.0000000    242.096   257.904    EM
    55 -0.33376536D+04    0.0000000    0.0000000    242.096   257.904    EM
    56 -0.33376536D+04    0.0000000    0.0000000    242.095   257.905    EM
    57 -0.33376536D+04    0.0000000    0.0000000    242.095   257.905    EM
    58 -0.33376536D+04    0.0000000    0.0000000    242.095   257.905    EM


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    Y1
    Y2
    Y3
    Y4
    X
    C

  Save file
    ex8.2.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  14:05:27
        Ending Time:  14:05:27
       Elapsed Time:  00:00:00



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