Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010  11:09 PM

INPUT INSTRUCTIONS

  TITLE:                cfa4.inp  non-normal, missing
  MONTECARLO:                NAMES ARE y1-y10;
                          NOBSERVATIONS = 315;
                          NREPS = 10000;
                          SEED = 53487;
                          CLASSES = C(1);
                          GENCLASSES = C(2);
                          PATMISS = y6 (.5) y7 (.5) y8 (.5) y9(.5) y10 (.5);
                          PATPROB = 1;
                          SAVE = cfa4.sav;
  ANALYSIS:                 TYPE = MIXTURE MISSING;
                          ESTIMATOR = MLR;
  MODEL MONTECARLO:
                          %OVERALL%
                          f1 BY y1-y5*.8;
                          f2 BY y6-y10*.8;
                          f1@1 f2@1;
                          y1-y5*.36 y6-y10*9;
                          f1 WITH f2*.95;
                          [C#1@-2];

                          %C#1%

                          [f1@0 f2@15];
                          f1@1 f2@5;

                          %C#2%

                          [f1@0 f2@0];
                          f1@1 f2@1;
  MODEL:
                          %OVERALL%
                            f1 BY y1-y5*.8;
                          f2 BY y6-y10*4;
                          f1@1 f2@1;
                          y1-y5*.36 y6-y10*9;
                          f1 WITH f2*.20;

                          [y6-y10*1.42];
  OUTPUT:                  PATTERNS TECH9;



*** WARNING in ANALYSIS command
  Starting with Version 5, TYPE=MISSING is the default for all analyses.
  To obtain listwise deletion, use LISTWISE=ON in the DATA command.
*** WARNING in OUTPUT command
  PATTERNS option is the default for MONTECARLO.
   2 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



cfa4.inp  non-normal, missing

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         315

Number of replications
    Requested                                                10000
    Completed                                                10000
Value of seed                                                53487

Number of dependent variables                                   10
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
   Y7          Y8          Y9          Y10

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
Maximum number of iterations for H1                           2000
Convergence criterion for H1                             0.100D-03
Optimization algorithm                                         EMA


SUMMARY OF DATA FOR THE FIRST REPLICATION

     Number of missing data patterns            32
     Number of y missing data patterns          32
     Number of u missing data patterns           0


SUMMARY OF MISSING DATA PATTERNS FOR THE FIRST REPLICATION


     MISSING DATA PATTERNS FOR Y (x = not missing)

           1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20
 Y1        x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x
 Y2        x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x
 Y3        x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x
 Y4        x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x
 Y5        x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x  x
 Y6        x  x     x              x  x  x        x  x     x     x  x
 Y7        x              x     x     x           x  x  x  x  x  x
 Y8        x           x     x     x     x  x  x  x     x     x
 Y9        x  x     x  x  x     x     x        x     x        x
 Y10       x  x           x  x           x     x  x  x  x     x  x  x

          21 22 23 24 25 26 27 28 29 30 31 32
 Y1        x  x  x  x  x  x  x  x  x  x  x  x
 Y2        x  x  x  x  x  x  x  x  x  x  x  x
 Y3        x  x  x  x  x  x  x  x  x  x  x  x
 Y4        x  x  x  x  x  x  x  x  x  x  x  x
 Y5        x  x  x  x  x  x  x  x  x  x  x  x
 Y6        x        x  x  x        x
 Y7           x     x     x  x        x     x
 Y8        x        x  x  x           x     x
 Y9        x           x  x     x     x  x
 Y10             x     x     x  x


     MISSING DATA PATTERN FREQUENCIES FOR Y

    Pattern   Frequency     Pattern   Frequency     Pattern   Frequency
          1           7          12          13          23          11
          2           9          13           8          24          14
          3           8          14           8          25          11
          4          11          15          12          26          10
          5          11          16           8          27          11
          6          15          17           8          28           6
          7          11          18           8          29          20
          8          10          19          12          30          11
          9          11          20          10          31           5
         10          10          21           9          32           4
         11           6          22           7


COVARIANCE COVERAGE OF DATA FOR THE FIRST REPLICATION

Minimum covariance coverage value   0.100


     PROPORTION OF DATA PRESENT FOR Y


           Covariance Coverage
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             1.000         1.000
 Y3             1.000         1.000         1.000
 Y4             1.000         1.000         1.000         1.000
 Y5             1.000         1.000         1.000         1.000         1.000
 Y6             0.533         0.533         0.533         0.533         0.533
 Y7             0.492         0.492         0.492         0.492         0.492
 Y8             0.476         0.476         0.476         0.476         0.476
 Y9             0.486         0.486         0.486         0.486         0.486
 Y10            0.486         0.486         0.486         0.486         0.486


           Covariance Coverage
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             0.533
 Y7             0.257         0.492
 Y8             0.241         0.222         0.476
 Y9             0.251         0.263         0.238         0.486
 Y10            0.238         0.257         0.213         0.241         0.486


SAMPLE STATISTICS FOR THE FIRST REPLICATION


     ESTIMATED SAMPLE STATISTICS


           Means
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 1             -0.012        -0.017        -0.018        -0.057        -0.067


           Means
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              0.795         1.503         1.219         1.364         1.473


           Covariances
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.053
 Y2             0.695         0.990
 Y3             0.640         0.615         1.000
 Y4             0.632         0.651         0.652         0.990
 Y5             0.585         0.615         0.569         0.629         0.937
 Y6             0.433         0.849         0.414         0.196         0.559
 Y7             1.357         1.339         1.097         1.217         1.226
 Y8             0.938         0.910         0.901         0.765         0.489
 Y9             0.995         1.030         1.222         0.762         0.777
 Y10            0.689         1.199         0.465         0.776         1.064


           Covariances
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6            18.561
 Y7            12.822        24.035
 Y8            11.322        14.044        19.979
 Y9             8.968        13.124        12.389        21.281
 Y10           12.688        15.375        14.273        14.497        24.535


           Correlations
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             1.000
 Y2             0.680         1.000
 Y3             0.624         0.618         1.000
 Y4             0.619         0.657         0.655         1.000
 Y5             0.589         0.639         0.587         0.653         1.000
 Y6             0.098         0.198         0.096         0.046         0.134
 Y7             0.270         0.275         0.224         0.250         0.258
 Y8             0.204         0.205         0.202         0.172         0.113
 Y9             0.210         0.224         0.265         0.166         0.174
 Y10            0.135         0.243         0.094         0.158         0.222


           Correlations
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             1.000
 Y7             0.607         1.000
 Y8             0.588         0.641         1.000
 Y9             0.451         0.580         0.601         1.000
 Y10            0.595         0.633         0.645         0.634         1.000


     MAXIMUM LOG-LIKELIHOOD VALUE FOR THE UNRESTRICTED (H1) MODEL IS -3938.692




TESTS OF MODEL FIT

Number of Free Parameters                       31

Loglikelihood

    H0 Value

        Mean                             -4007.745
        Std Dev                             65.368
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989        -4159.811      -4162.466
           0.980       0.981        -4141.991      -4140.704
           0.950       0.950        -4115.269      -4115.187
           0.900       0.901        -4091.521      -4091.287
           0.800       0.805        -4062.759      -4061.741
           0.700       0.701        -4042.024      -4041.687
           0.500       0.503        -4007.745      -4007.356
           0.300       0.298        -3973.465      -3973.795
           0.200       0.195        -3952.731      -3953.853
           0.100       0.099        -3923.969      -3924.199
           0.050       0.051        -3900.220      -3899.821
           0.020       0.021        -3873.498      -3871.645
           0.010       0.011        -3855.678      -3853.595

Information Criteria

    Akaike (AIC)

        Mean                              8077.489
        Std Dev                            130.737
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989         7773.356       7769.133
           0.980       0.979         7808.995       7805.269
           0.950       0.949         7862.440       7861.410
           0.900       0.901         7909.937       7910.324
           0.800       0.805         7967.461       7969.576
           0.700       0.702         8008.931       8009.588
           0.500       0.497         8077.489       8076.698
           0.300       0.299         8146.047       8145.372
           0.200       0.195         8187.517       8185.442
           0.100       0.099         8245.041       8244.314
           0.050       0.050         8292.538       8292.321
           0.020       0.019         8345.983       8343.074
           0.010       0.011         8381.622       8386.894

    Bayesian (BIC)

        Mean                              8193.819
        Std Dev                            130.737
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989         7889.686       7885.463
           0.980       0.979         7925.325       7921.599
           0.950       0.949         7978.770       7977.740
           0.900       0.901         8026.267       8026.654
           0.800       0.805         8083.791       8085.906
           0.700       0.702         8125.261       8125.918
           0.500       0.497         8193.819       8193.027
           0.300       0.299         8262.377       8261.701
           0.200       0.195         8303.847       8301.771
           0.100       0.099         8361.371       8360.644
           0.050       0.050         8408.868       8408.651
           0.020       0.019         8462.313       8459.403
           0.010       0.011         8497.951       8503.224

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

        Mean                              8095.495
        Std Dev                            130.737
        Number of successful computations    10000

             Proportions                   Percentiles
        Expected    Observed         Expected       Observed
           0.990       0.989         7791.363       7787.139
           0.980       0.979         7827.002       7823.276
           0.950       0.949         7880.447       7879.417
           0.900       0.901         7927.943       7928.331
           0.800       0.805         7985.467       7987.582
           0.700       0.702         8026.937       8027.595
           0.500       0.497         8095.495       8094.704
           0.300       0.299         8164.054       8163.378
           0.200       0.195         8205.523       8203.448
           0.100       0.099         8263.047       8262.321
           0.050       0.050         8310.544       8310.327
           0.020       0.019         8363.989       8361.080
           0.010       0.011         8399.628       8404.900



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

    Latent
   Classes

       1        315.00000          1.00000


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

    Latent
   Classes

       1        315.00000          1.00000


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              315          1.00000


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

           1

    1   1.000


MODEL RESULTS

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

 F1       BY
  Y1               0.800     0.7982     0.0493     0.0481     0.0024 0.942 1.000
  Y2               0.800     0.7985     0.0487     0.0481     0.0024 0.947 1.000
  Y3               0.800     0.7978     0.0485     0.0481     0.0024 0.946 1.000
  Y4               0.800     0.7989     0.0488     0.0481     0.0024 0.945 1.000
  Y5               0.800     0.7983     0.0483     0.0481     0.0023 0.946 1.000

 F2       BY
  Y6               4.000     3.9776     0.4345     0.4251     0.1893 0.944 1.000
  Y7               4.000     3.9837     0.4352     0.4259     0.1896 0.943 1.000
  Y8               4.000     3.9778     0.4350     0.4246     0.1897 0.945 1.000
  Y9               4.000     3.9793     0.4323     0.4251     0.1873 0.944 1.000
  Y10              4.000     3.9793     0.4357     0.4255     0.1903 0.942 1.000

 F1       WITH
  F2               0.200     0.1915     0.0676     0.0663     0.0046 0.940 0.803

 Means
  F1               0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000
  F2               0.000     0.0000     0.0000     0.0000     0.0000 1.000 0.000

 Intercepts
  Y1               0.000     0.0006     0.0563     0.0562     0.0032 0.947 0.053
  Y2               0.000     0.0001     0.0572     0.0562     0.0033 0.944 0.056
  Y3               0.000     0.0007     0.0567     0.0562     0.0032 0.947 0.053
  Y4               0.000     0.0007     0.0564     0.0562     0.0032 0.947 0.053
  Y5               0.000     0.0006     0.0567     0.0562     0.0032 0.949 0.051
  Y6               1.420     1.4294     0.3467     0.3474     0.1203 0.952 0.987
  Y7               1.420     1.4252     0.3507     0.3481     0.1230 0.947 0.988
  Y8               1.420     1.4279     0.3481     0.3478     0.1212 0.952 0.988
  Y9               1.420     1.4269     0.3468     0.3476     0.1203 0.949 0.988
  Y10              1.420     1.4265     0.3454     0.3478     0.1193 0.952 0.990

 Variances
  F1               1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000
  F2               1.000     1.0000     0.0000     0.0000     0.0000 1.000 0.000

 Residual Variances
  Y1               0.360     0.3574     0.0360     0.0356     0.0013 0.941 1.000
  Y2               0.360     0.3580     0.0362     0.0357     0.0013 0.939 1.000
  Y3               0.360     0.3572     0.0355     0.0356     0.0013 0.943 1.000
  Y4               0.360     0.3576     0.0363     0.0357     0.0013 0.935 1.000
  Y5               0.360     0.3575     0.0361     0.0357     0.0013 0.943 1.000
  Y6               9.000     8.8219     1.6070     1.5789     2.6139 0.929 1.000
  Y7               9.000     8.8435     1.6334     1.5860     2.6923 0.929 1.000
  Y8               9.000     8.8614     1.6134     1.5841     2.6221 0.932 1.000
  Y9               9.000     8.8314     1.6438     1.5810     2.7304 0.927 1.000
  Y10              9.000     8.8509     1.6256     1.5877     2.6646 0.936 1.000


QUALITY OF NUMERICAL RESULTS

     Average Condition Number for the Information Matrix      0.563E-03
       (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            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1                  6             7             8             9            10


           LAMBDA
              F1            F2
              ________      ________
 Y1                11             0
 Y2                12             0
 Y3                13             0
 Y4                14             0
 Y5                15             0
 Y6                 0            16
 Y7                 0            17
 Y8                 0            18
 Y9                 0            19
 Y10                0            20


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1                21
 Y2                 0            22
 Y3                 0             0            23
 Y4                 0             0             0            24
 Y5                 0             0             0             0            25
 Y6                 0             0             0             0             0
 Y7                 0             0             0             0             0
 Y8                 0             0             0             0             0
 Y9                 0             0             0             0             0
 Y10                0             0             0             0             0


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6                26
 Y7                 0            27
 Y8                 0             0            28
 Y9                 0             0             0            29
 Y10                0             0             0             0            30


           ALPHA
              F1            F2
              ________      ________
 1                  0             0


           BETA
              F1            F2
              ________      ________
 F1                 0             0
 F2                 0             0


           PSI
              F1            F2
              ________      ________
 F1                 0
 F2                31             0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1
              ________
 1                  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            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              1.420         1.420         1.420         1.420         1.420


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         4.000
 Y7             0.000         4.000
 Y8             0.000         4.000
 Y9             0.000         4.000
 Y10            0.000         4.000


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.200         1.000


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1
              ________
 1              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            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         0.800
 Y7             0.000         0.800
 Y8             0.000         0.800
 Y9             0.000         0.800
 Y10            0.000         0.800


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000        15.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.950         5.000


     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            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 1              0.000         0.000         0.000         0.000         0.000


           LAMBDA
              F1            F2
              ________      ________
 Y1             0.800         0.000
 Y2             0.800         0.000
 Y3             0.800         0.000
 Y4             0.800         0.000
 Y5             0.800         0.000
 Y6             0.000         0.800
 Y7             0.000         0.800
 Y8             0.000         0.800
 Y9             0.000         0.800
 Y10            0.000         0.800


           THETA
              Y1            Y2            Y3            Y4            Y5
              ________      ________      ________      ________      ________
 Y1             0.360
 Y2             0.000         0.360
 Y3             0.000         0.000         0.360
 Y4             0.000         0.000         0.000         0.360
 Y5             0.000         0.000         0.000         0.000         0.360
 Y6             0.000         0.000         0.000         0.000         0.000
 Y7             0.000         0.000         0.000         0.000         0.000
 Y8             0.000         0.000         0.000         0.000         0.000
 Y9             0.000         0.000         0.000         0.000         0.000
 Y10            0.000         0.000         0.000         0.000         0.000


           THETA
              Y6            Y7            Y8            Y9            Y10
              ________      ________      ________      ________      ________
 Y6             9.000
 Y7             0.000         9.000
 Y8             0.000         0.000         9.000
 Y9             0.000         0.000         0.000         9.000
 Y10            0.000         0.000         0.000         0.000         9.000


           ALPHA
              F1            F2
              ________      ________
 1              0.000         0.000


           BETA
              F1            F2
              ________      ________
 F1             0.000         0.000
 F2             0.000         0.000


           PSI
              F1            F2
              ________      ________
 F1             1.000
 F2             0.950         1.000


     POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1             -2.000         0.000


TECHNICAL 9 OUTPUT

  Error messages for each replication (if any)



SAVEDATA INFORMATION

  Order of variables

    Y1
    Y2
    Y3
    Y4
    Y5
    Y6
    Y7
    Y8
    Y9
    Y10
    C
    PATTERN

  Save file
    cfa4.sav

  Save file format           Free
  Save file record length    5000
  Missing designated by 999


     Beginning Time:  23:09:54
        Ending Time:  23:15:39
       Elapsed Time:  00:05:45



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