Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014   5:18 PM

INPUT INSTRUCTIONS

  title:
  	this is an example of a factor mixture analysis
      with binary latent class indicators

  montecarlo:
  	names are u1-u8;
  	generate = u1-u8(1);
  	categorical = u1-u8;
  	genclasses = c(2);
  	classes = c(2);
  	nobs = 2000;
  	seed = 3454367;
  	nrep = 1;
  	save = ex7.27.dat;

  model population:

  	%overall%

      f by u1@1 u2-u8*1;
      [f@0];

  	[c#1*0];
  	
  	%c#1%
      f by u2-u4*1 u5-u8*.5;
      f*3;
  	[u1$1*2 u2$1*2 u3$1*2 u4$1*2 u5$1*-2 u6$1*-2 u7$1*-2 u8$1*-2];

  	%c#2%
      f by u2-u4*.5 u5-u8*1;
      f*2;
  	[u1$1*-2 u2$1*-2 u3$1*-2 u4$1*-2 u5$1*2 u6$1*2 u7$1*2 u8$1*2];

  analysis:
  	type = mixture;
      algorithm = integration;
   !   estimator = mlf;
    !  adaptive = off;

  model:
      %overall%

      f by u1@1 u2-u8*1;
      [f@0];

  	[c#1*0];
  	
  	%c#1%
      f by u2-u4*1 u5-u8*.5;
      f*3;
  	[u1$1*2 u2$1*2 u3$1*2 u4$1*2 u5$1*-2 u6$1*-2 u7$1*-2 u8$1*-2];

  	%c#2%
      f by u2-u4*.5 u5-u8*1;
      f*2;
  	[u1$1*-2 u2$1*-2 u3$1*-2 u4$1*-2 u5$1*2 u6$1*2 u7$1*2 u8$1*2];

  output:
  	tech8 tech9;
  	
  	
  	

  	
  	



INPUT READING TERMINATED NORMALLY




this is an example of a factor mixture analysis
with binary latent class indicators

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                        2000

Number of replications
    Requested                                                    1
    Completed                                                    1
Value of seed                                              3454367

Number of dependent variables                                    8
Number of independent variables                                  0
Number of continuous latent variables                            1
Number of categorical latent variables                           1

Observed dependent variables

  Binary and ordered categorical (ordinal)
   U1          U2          U3          U4          U5          U6
   U7          U8

Continuous latent variables
   F

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-02
    Relative loglikelihood change                        0.100D-05
    Derivative                                           0.100D-02
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-02
  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-02
  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
Integration Specifications
  Type                                                    STANDARD
  Number of integration points                                  15
  Dimensions of numerical integration                            1
  Adaptive quadrature                                           ON
Link                                                         LOGIT
Cholesky                                                        ON





MODEL FIT INFORMATION

Number of Free Parameters                       33

Loglikelihood

    H0 Value

        Mean                             -8193.989
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        -8193.989      -8193.989
           0.980       0.000        -8193.989      -8193.989
           0.950       0.000        -8193.989      -8193.989
           0.900       0.000        -8193.989      -8193.989
           0.800       0.000        -8193.989      -8193.989
           0.700       0.000        -8193.989      -8193.989
           0.500       0.000        -8193.989      -8193.989
           0.300       0.000        -8193.989      -8193.989
           0.200       0.000        -8193.989      -8193.989
           0.100       0.000        -8193.989      -8193.989
           0.050       0.000        -8193.989      -8193.989
           0.020       0.000        -8193.989      -8193.989
           0.010       0.000        -8193.989      -8193.989

Information Criteria

    Akaike (AIC)

        Mean                             16453.978
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        16453.978      16453.978
           0.980       0.000        16453.978      16453.978
           0.950       0.000        16453.978      16453.978
           0.900       0.000        16453.978      16453.978
           0.800       0.000        16453.978      16453.978
           0.700       0.000        16453.978      16453.978
           0.500       0.000        16453.978      16453.978
           0.300       0.000        16453.978      16453.978
           0.200       0.000        16453.978      16453.978
           0.100       0.000        16453.978      16453.978
           0.050       0.000        16453.978      16453.978
           0.020       0.000        16453.978      16453.978
           0.010       0.000        16453.978      16453.978

    Bayesian (BIC)

        Mean                             16638.808
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        16638.808      16638.808
           0.980       0.000        16638.808      16638.808
           0.950       0.000        16638.808      16638.808
           0.900       0.000        16638.808      16638.808
           0.800       0.000        16638.808      16638.808
           0.700       0.000        16638.808      16638.808
           0.500       0.000        16638.808      16638.808
           0.300       0.000        16638.808      16638.808
           0.200       0.000        16638.808      16638.808
           0.100       0.000        16638.808      16638.808
           0.050       0.000        16638.808      16638.808
           0.020       0.000        16638.808      16638.808
           0.010       0.000        16638.808      16638.808

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

        Mean                             16533.965
        Std Dev                              0.000
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.000        16533.965      16533.965
           0.980       0.000        16533.965      16533.965
           0.950       0.000        16533.965      16533.965
           0.900       0.000        16533.965      16533.965
           0.800       0.000        16533.965      16533.965
           0.700       0.000        16533.965      16533.965
           0.500       0.000        16533.965      16533.965
           0.300       0.000        16533.965      16533.965
           0.200       0.000        16533.965      16533.965
           0.100       0.000        16533.965      16533.965
           0.050       0.000        16533.965      16533.965
           0.020       0.000        16533.965      16533.965
           0.010       0.000        16533.965      16533.965

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

    Pearson Chi-Square

        Mean                               221.727
        Std Dev                              0.000
        Degrees of freedom                     222
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       1.000          175.939        221.727
           0.980       1.000          180.899        221.727
           0.950       1.000          188.514        221.727
           0.900       1.000          195.460        221.727
           0.800       1.000          204.100        221.727
           0.700       1.000          210.486        221.727
           0.500       1.000          221.334        221.727
           0.300       0.000          232.548        221.727
           0.200       0.000          239.512        221.727
           0.100       0.000          249.396        221.727
           0.050       0.000          257.758        221.727
           0.020       0.000          267.389        221.727
           0.010       0.000          273.939        221.727

    Likelihood Ratio Chi-Square

        Mean                               227.347
        Std Dev                              0.000
        Degrees of freedom                     222
        Number of successful computations        1

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       1.000          175.939        227.347
           0.980       1.000          180.899        227.347
           0.950       1.000          188.514        227.347
           0.900       1.000          195.460        227.347
           0.800       1.000          204.100        227.347
           0.700       1.000          210.486        227.347
           0.500       1.000          221.334        227.347
           0.300       0.000          232.548        227.347
           0.200       0.000          239.512        227.347
           0.100       0.000          249.396        227.347
           0.050       0.000          257.758        227.347
           0.020       0.000          267.389        227.347
           0.010       0.000          273.939        227.347



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

    Latent
   Classes

       1        981.43247          0.49072
       2       1018.56753          0.50928


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

    Latent
   Classes

       1        981.43219          0.49072
       2       1018.56781          0.50928


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

Class Counts and Proportions

    Latent
   Classes

       1             1005          0.50250
       2              995          0.49750


CLASSIFICATION QUALITY

     Entropy                         0.935


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

           1        2

    1   0.967    0.033
    2   0.010    0.990


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

           1        2

    1   0.990    0.010
    2   0.032    0.968


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

              1        2

    1      4.627    0.000
    2     -3.394    0.000


MODEL RESULTS

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

 F        BY
  U1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  U2                  1.000     1.2129     0.0000     0.2268     0.0453 1.000 1.000
  U3                  1.000     1.2882     0.0000     0.2678     0.0831 1.000 1.000
  U4                  1.000     0.9309     0.0000     0.1689     0.0048 1.000 1.000
  U5                  0.500     0.7132     0.0000     0.1594     0.0455 1.000 1.000
  U6                  0.500     0.5914     0.0000     0.1412     0.0084 1.000 1.000
  U7                  0.500     0.5917     0.0000     0.1462     0.0084 1.000 1.000
  U8                  0.500     0.7255     0.0000     0.1664     0.0508 1.000 1.000

 Means
  F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Thresholds
  U1$1                2.000     1.9601     0.0000     0.1526     0.0016 1.000 1.000
  U2$1                2.000     2.3526     0.0000     0.2052     0.1243 1.000 1.000
  U3$1                2.000     2.1781     0.0000     0.2082     0.0317 1.000 1.000
  U4$1                2.000     1.7916     0.0000     0.1409     0.0434 1.000 1.000
  U5$1               -2.000    -2.0216     0.0000     0.1513     0.0005 1.000 1.000
  U6$1               -2.000    -2.0871     0.0000     0.1390     0.0076 1.000 1.000
  U7$1               -2.000    -1.9888     0.0000     0.1436     0.0001 1.000 1.000
  U8$1               -2.000    -2.1454     0.0000     0.1611     0.0212 1.000 1.000

 Variances
  F                   3.000     2.2196     0.0000     0.5946     0.6090 1.000 1.000

Latent Class 2

 F        BY
  U1                  1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  U2                  0.500     0.4957     0.0000     0.1394     0.0000 1.000 1.000
  U3                  0.500     0.3582     0.0000     0.1197     0.0201 1.000 1.000
  U4                  0.500     0.4177     0.0000     0.1270     0.0068 1.000 1.000
  U5                  1.000     0.8541     0.0000     0.2053     0.0213 1.000 1.000
  U6                  1.000     0.8674     0.0000     0.2237     0.0176 1.000 1.000
  U7                  1.000     0.9562     0.0000     0.2079     0.0019 1.000 1.000
  U8                  1.000     0.8299     0.0000     0.1945     0.0289 1.000 1.000

 Means
  F                   0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Thresholds
  U1$1               -2.000    -2.0569     0.0000     0.2196     0.0032 1.000 1.000
  U2$1               -2.000    -2.0777     0.0000     0.1342     0.0060 1.000 1.000
  U3$1               -2.000    -1.9384     0.0000     0.1153     0.0038 1.000 1.000
  U4$1               -2.000    -1.9680     0.0000     0.1242     0.0010 1.000 1.000
  U5$1                2.000     1.9606     0.0000     0.1526     0.0015 1.000 1.000
  U6$1                2.000     1.9283     0.0000     0.1554     0.0051 1.000 1.000
  U7$1                2.000     1.9118     0.0000     0.1630     0.0078 1.000 1.000
  U8$1                2.000     1.8279     0.0000     0.1412     0.0296 1.000 1.000

 Variances
  F                   2.000     2.8248     0.0000     1.0112     0.6804 1.000 1.000

Categorical Latent Variables

 Means
  C#1                 0.000    -0.0371     0.0000     0.0475     0.0014 1.000 0.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.720E-02
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1                  0             0             0             0             0


           NU
              U6            U7            U8
              ________      ________      ________
 1                  0             0             0


           LAMBDA
              F
              ________
 U1                 0
 U2                 1
 U3                 2
 U4                 3
 U5                 4
 U6                 5
 U7                 6
 U8                 7


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1                 0
 U2                 0             0
 U3                 0             0             0
 U4                 0             0             0             0
 U5                 0             0             0             0             0
 U6                 0             0             0             0             0
 U7                 0             0             0             0             0
 U8                 0             0             0             0             0


           THETA
              U6            U7            U8
              ________      ________      ________
 U6                 0
 U7                 0             0
 U8                 0             0             0


           ALPHA
              F
              ________
 1                  0


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                  8


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1                  0             0             0             0             0


           NU
              U6            U7            U8
              ________      ________      ________
 1                  0             0             0


           LAMBDA
              F
              ________
 U1                 0
 U2                 9
 U3                10
 U4                11
 U5                12
 U6                13
 U7                14
 U8                15


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1                 0
 U2                 0             0
 U3                 0             0             0
 U4                 0             0             0             0
 U5                 0             0             0             0             0
 U6                 0             0             0             0             0
 U7                 0             0             0             0             0
 U8                 0             0             0             0             0


           THETA
              U6            U7            U8
              ________      ________      ________
 U6                 0
 U7                 0             0
 U8                 0             0             0


           ALPHA
              F
              ________
 1                  0


           BETA
              F
              ________
 F                  0


           PSI
              F
              ________
 F                 16


     PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1                 17            18            19            20            21


           TAU(U) FOR LATENT CLASS 1
              U6$1          U7$1          U8$1
              ________      ________      ________
 1                 22            23            24


           TAU(U) FOR LATENT CLASS 2
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1                 25            26            27            28            29


           TAU(U) FOR LATENT CLASS 2
              U6$1          U7$1          U8$1
              ________      ________      ________
 1                 30            31            32


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 33             0


           GAMMA(C)
              F
              ________
 C#1                0
 C#2                0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              U6            U7            U8
              ________      ________      ________
 1              0.000         0.000         0.000


           LAMBDA
              F
              ________
 U1             1.000
 U2             1.000
 U3             1.000
 U4             1.000
 U5             0.500
 U6             0.500
 U7             0.500
 U8             0.500


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1             1.000
 U2             0.000         1.000
 U3             0.000         0.000         1.000
 U4             0.000         0.000         0.000         1.000
 U5             0.000         0.000         0.000         0.000         1.000
 U6             0.000         0.000         0.000         0.000         0.000
 U7             0.000         0.000         0.000         0.000         0.000
 U8             0.000         0.000         0.000         0.000         0.000


           THETA
              U6            U7            U8
              ________      ________      ________
 U6             1.000
 U7             0.000         1.000
 U8             0.000         0.000         1.000


           ALPHA
              F
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              3.000


     STARTING VALUES FOR LATENT CLASS 2


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              U6            U7            U8
              ________      ________      ________
 1              0.000         0.000         0.000


           LAMBDA
              F
              ________
 U1             1.000
 U2             0.500
 U3             0.500
 U4             0.500
 U5             1.000
 U6             1.000
 U7             1.000
 U8             1.000


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1             1.000
 U2             0.000         1.000
 U3             0.000         0.000         1.000
 U4             0.000         0.000         0.000         1.000
 U5             0.000         0.000         0.000         0.000         1.000
 U6             0.000         0.000         0.000         0.000         0.000
 U7             0.000         0.000         0.000         0.000         0.000
 U8             0.000         0.000         0.000         0.000         0.000


           THETA
              U6            U7            U8
              ________      ________      ________
 U6             1.000
 U7             0.000         1.000
 U8             0.000         0.000         1.000


           ALPHA
              F
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              2.000


     STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1              2.000         2.000         2.000         2.000        -2.000


           TAU(U) FOR LATENT CLASS 1
              U6$1          U7$1          U8$1
              ________      ________      ________
 1             -2.000        -2.000        -2.000


           TAU(U) FOR LATENT CLASS 2
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1             -2.000        -2.000        -2.000        -2.000         2.000


           TAU(U) FOR LATENT CLASS 2
              U6$1          U7$1          U8$1
              ________      ________      ________
 1              2.000         2.000         2.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


           GAMMA(C)
              F
              ________
 C#1            0.000
 C#2            0.000


     POPULATION VALUES FOR LATENT CLASS 1


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              U6            U7            U8
              ________      ________      ________
 1              0.000         0.000         0.000


           LAMBDA
              F
              ________
 U1             1.000
 U2             1.000
 U3             1.000
 U4             1.000
 U5             0.500
 U6             0.500
 U7             0.500
 U8             0.500


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1             0.000
 U2             0.000         0.000
 U3             0.000         0.000         0.000
 U4             0.000         0.000         0.000         0.000
 U5             0.000         0.000         0.000         0.000         0.000
 U6             0.000         0.000         0.000         0.000         0.000
 U7             0.000         0.000         0.000         0.000         0.000
 U8             0.000         0.000         0.000         0.000         0.000


           THETA
              U6            U7            U8
              ________      ________      ________
 U6             0.000
 U7             0.000         0.000
 U8             0.000         0.000         0.000


           ALPHA
              F
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              3.000


     POPULATION VALUES FOR LATENT CLASS 2


           NU
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           NU
              U6            U7            U8
              ________      ________      ________
 1              0.000         0.000         0.000


           LAMBDA
              F
              ________
 U1             1.000
 U2             0.500
 U3             0.500
 U4             0.500
 U5             1.000
 U6             1.000
 U7             1.000
 U8             1.000


           THETA
              U1            U2            U3            U4            U5
              ________      ________      ________      ________      ________
 U1             0.000
 U2             0.000         0.000
 U3             0.000         0.000         0.000
 U4             0.000         0.000         0.000         0.000
 U5             0.000         0.000         0.000         0.000         0.000
 U6             0.000         0.000         0.000         0.000         0.000
 U7             0.000         0.000         0.000         0.000         0.000
 U8             0.000         0.000         0.000         0.000         0.000


           THETA
              U6            U7            U8
              ________      ________      ________
 U6             0.000
 U7             0.000         0.000
 U8             0.000         0.000         0.000


           ALPHA
              F
              ________
 1              0.000


           BETA
              F
              ________
 F              0.000


           PSI
              F
              ________
 F              2.000


     POPULATION VALUES FOR LATENT CLASS INDICATOR MODEL PART


           TAU(U) FOR LATENT CLASS 1
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1              2.000         2.000         2.000         2.000        -2.000


           TAU(U) FOR LATENT CLASS 1
              U6$1          U7$1          U8$1
              ________      ________      ________
 1             -2.000        -2.000        -2.000


           TAU(U) FOR LATENT CLASS 2
              U1$1          U2$1          U3$1          U4$1          U5$1
              ________      ________      ________      ________      ________
 1             -2.000        -2.000        -2.000        -2.000         2.000


           TAU(U) FOR LATENT CLASS 2
              U6$1          U7$1          U8$1
              ________      ________      ________
 1              2.000         2.000         2.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


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


           GAMMA(C)
              F
              ________
 C#1            0.000
 C#2            0.000


TECHNICAL 8 OUTPUT


  TECHNICAL 8 OUTPUT FOR REPLICATION 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.82053538D+04    0.0000000    0.0000000    992.127  1007.873    EM
     2 -0.81969685D+04    8.3853452    0.0010219    989.229  1010.771    EM
     3 -0.81955929D+04    1.3755714    0.0001678    987.709  1012.291    EM
     4 -0.81949384D+04    0.6544593    0.0000799    986.735  1013.265    EM
     5 -0.81945862D+04    0.3522584    0.0000430    985.997  1014.003    EM
     6 -0.81943822D+04    0.2039316    0.0000249    985.391  1014.609    EM
     7 -0.81942570D+04    0.1251896    0.0000153    984.879  1015.121    EM
     8 -0.81941764D+04    0.0806378    0.0000098    984.440  1015.560    EM
     9 -0.81941225D+04    0.0539301    0.0000066    984.062  1015.938    EM
    10 -0.81940854D+04    0.0370985    0.0000045    983.736  1016.264    EM
    11 -0.81940593D+04    0.0260553    0.0000032    983.452  1016.548    EM
    12 -0.81940407D+04    0.0185839    0.0000023    983.207  1016.793    EM
    13 -0.81940273D+04    0.0134118    0.0000016    982.992  1017.008    EM
    14 -0.81940176D+04    0.0097696    0.0000012    982.806  1017.194    EM
    15 -0.81940104D+04    0.0071710    0.0000009    982.643  1017.357    EM
    16 -0.81939915D+04    0.0188402    0.0000023    981.210  1018.790    FS
    17 -0.81939895D+04    0.0020056    0.0000002    981.633  1018.367    FS
    18 -0.81939892D+04    0.0003745    0.0000000    981.432  1018.568    FS


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    U1
    U2
    U3
    U4
    U5
    U6
    U7
    U8
    C

  Save file
    ex7.27.dat

  Save file format           Free
  Save file record length    10000


     Beginning Time:  17:18:33
        Ending Time:  17:18:33
       Elapsed Time:  00:00:00



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