Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010 10:58 PM
INPUT INSTRUCTIONS
TITLE: mix10
fisher's iris data
UNequal covariance matrices
see everitt & hand (1981), pp. 43-44
Source: Everitt, B.S. & Hand, D.J. (1981). Finite
mixture distributions. London: Chapman & Hall
DATA: FILE IS fisher.dat;
VARIABLE: NAMES ARE v1 v2 v3 v4 id;
USEVAR = v1-v4;
CLASSES = c(3);
DEFINE: v1=v1/10; v2=v2/10; v3=v3/10; v4=v4/10;
! the outcome variables are divided by 10 to agree with everitt & hand
ANALYSIS: TYPE = mixture;
miterations = 50;
MODEL:
%overall%
v1 WITH v2-v4;
v2 WITH v3 v4;
v3 WITH v4;
! the outcome variables are uncorrelated by default
! and are allowed to be correlated by the 3 statements above
v1*1;
v2*1;
v3*1;
v4*1;
[v1*4 v2*4 v3*2 v4*1];
%c#2%
[v1*7 v2*2 v3*3 v4*2];
v1 WITH v2-v4;
v2 WITH v3 v4;
v3 WITH v4;
v1*1;
v2*1;
v3*1;
v4*1;
%c#3%
[v1*8 v2*4 v3*5 v4*3];
v1 WITH v2-v4;
v2 WITH v3 v4;
v3 WITH v4;
v1*1;
v2*1;
v3*1;
v4*1;
! class 2 and class 3 mean, covariance, and variance parameters
! are allowed to be different from class 1 so that all 3 classes
! are different with respect to these parameters.
! the starting values are those given on page 43 in everitt & hand
OUTPUT:
tech1 tech8;
INPUT READING TERMINATED NORMALLY
mix10
fisher's iris data
UNequal covariance matrices
see everitt & hand (1981), pp. 43-44
Source: Everitt, B.S. & Hand, D.J. (1981). Finite
mixture distributions. London: Chapman & Hall
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 150
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Continuous
V1 V2 V3 V4
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 50
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
Random Starts Specifications
Number of initial stage random starts 10
Number of final stage optimizations 2
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Input data file(s)
fisher.dat
Input data format FREE
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
1 perturbed starting value run(s) did not converge in the initial stage
optimizations.
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-180.185 unperturbed 0
1 perturbed starting value run(s) did not converge.
WARNING: WHEN ESTIMATING A MODEL WITH MORE THAN TWO CLASSES, IT MAY BE
NECESSARY TO INCREASE THE NUMBER OF RANDOM STARTS USING THE STARTS OPTION
TO AVOID LOCAL MAXIMA.
WARNING: THE BEST LOGLIKELIHOOD VALUE WAS NOT REPLICATED. THE
SOLUTION MAY NOT BE TRUSTWORTHY DUE TO LOCAL MAXIMA. INCREASE THE
NUMBER OF RANDOM STARTS.
THE MODEL ESTIMATION TERMINATED NORMALLY
TESTS OF MODEL FIT
Loglikelihood
H0 Value -180.185
H0 Scaling Correction Factor 1.026
for MLR
Information Criteria
Number of Free Parameters 44
Akaike (AIC) 448.371
Bayesian (BIC) 580.839
Sample-Size Adjusted BIC 441.587
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 50.00000 0.33333
2 44.87898 0.29919
3 55.12102 0.36747
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 50.00000 0.33333
2 44.87898 0.29919
3 55.12102 0.36747
CLASSIFICATION QUALITY
Entropy 0.970
CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 50 0.33333
2 45 0.30000
3 55 0.36667
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 1.000 0.000 0.000
2 0.000 0.982 0.018
3 0.000 0.012 0.988
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
V1 WITH
V2 0.097 0.022 4.470 0.000
V3 0.016 0.010 1.655 0.098
V4 0.010 0.004 2.486 0.013
V2 WITH
V3 0.011 0.008 1.419 0.156
V4 0.009 0.005 1.763 0.078
V3 WITH
V4 0.006 0.003 2.316 0.021
Means
V1 5.006 0.049 101.442 0.000
V2 3.428 0.053 64.595 0.000
V3 1.462 0.024 60.133 0.000
V4 0.246 0.015 16.673 0.000
Variances
V1 0.122 0.022 5.498 0.000
V2 0.141 0.033 4.269 0.000
V3 0.030 0.007 4.222 0.000
V4 0.011 0.003 3.816 0.000
Latent Class 2
V1 WITH
V2 0.097 0.026 3.791 0.000
V3 0.185 0.042 4.371 0.000
V4 0.054 0.014 3.895 0.000
V2 WITH
V3 0.091 0.020 4.603 0.000
V4 0.043 0.009 4.874 0.000
V3 WITH
V4 0.061 0.013 4.774 0.000
Means
V1 5.915 0.080 74.199 0.000
V2 2.778 0.047 59.494 0.000
V3 4.202 0.068 61.578 0.000
V4 1.297 0.028 46.605 0.000
Variances
V1 0.275 0.049 5.645 0.000
V2 0.093 0.019 4.989 0.000
V3 0.201 0.044 4.575 0.000
V4 0.032 0.006 5.813 0.000
Latent Class 3
V1 WITH
V2 0.092 0.034 2.696 0.007
V3 0.303 0.062 4.915 0.000
V4 0.062 0.021 2.876 0.004
V2 WITH
V3 0.084 0.033 2.526 0.012
V4 0.056 0.015 3.793 0.000
V3 WITH
V4 0.075 0.024 3.080 0.002
Means
V1 6.545 0.085 76.985 0.000
V2 2.949 0.046 64.111 0.000
V3 5.480 0.082 66.996 0.000
V4 1.985 0.043 45.901 0.000
Variances
V1 0.387 0.074 5.242 0.000
V2 0.110 0.024 4.656 0.000
V3 0.328 0.062 5.301 0.000
V4 0.086 0.014 6.172 0.000
Categorical Latent Variables
Means
C#1 -0.098 0.198 -0.493 0.622
C#2 -0.206 0.213 -0.965 0.335
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.255E-04
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
V1 V2 V3 V4
________ ________ ________ ________
1 1 2 3 4
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 5
V2 6 7
V3 8 9 10
V4 11 12 13 14
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
V1 V2 V3 V4
________ ________ ________ ________
1 15 16 17 18
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 19
V2 20 21
V3 22 23 24
V4 25 26 27 28
PARAMETER SPECIFICATION FOR LATENT CLASS 3
NU
V1 V2 V3 V4
________ ________ ________ ________
1 29 30 31 32
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 33
V2 34 35
V3 36 37 38
V4 39 40 41 42
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2 C#3
________ ________ ________
1 43 44 0
STARTING VALUES FOR LATENT CLASS 1
NU
V1 V2 V3 V4
________ ________ ________ ________
1 4.000 4.000 2.000 1.000
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 1.000
V2 0.000 1.000
V3 0.000 0.000 1.000
V4 0.000 0.000 0.000 1.000
STARTING VALUES FOR LATENT CLASS 2
NU
V1 V2 V3 V4
________ ________ ________ ________
1 7.000 2.000 3.000 2.000
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 1.000
V2 0.000 1.000
V3 0.000 0.000 1.000
V4 0.000 0.000 0.000 1.000
STARTING VALUES FOR LATENT CLASS 3
NU
V1 V2 V3 V4
________ ________ ________ ________
1 8.000 4.000 5.000 3.000
THETA
V1 V2 V3 V4
________ ________ ________ ________
V1 1.000
V2 0.000 1.000
V3 0.000 0.000 1.000
V4 0.000 0.000 0.000 1.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2 C#3
________ ________ ________
1 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.97827631D+03 0.0000000 0.0000000 53.881 52.669 EM
43.450
2 -0.25886878D+03 719.4075338 0.7353828 51.257 56.507 EM
42.236
3 -0.21817476D+03 40.6940220 0.1571994 50.000 58.785 EM
41.215
4 -0.19294333D+03 25.2314246 0.1156478 50.000 58.475 EM
41.525
5 -0.18982626D+03 3.1170731 0.0161554 50.000 57.439 EM
42.561
6 -0.18810665D+03 1.7196142 0.0090589 50.000 56.092 EM
43.908
7 -0.18690288D+03 1.2037630 0.0063994 50.000 54.568 EM
45.432
8 -0.18576045D+03 1.1424314 0.0061124 50.000 53.007 EM
46.993
9 -0.18470344D+03 1.0570138 0.0056902 50.000 51.529 EM
48.471
10 -0.18377844D+03 0.9249974 0.0050080 50.000 50.185 EM
49.815
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.20136963D+04 0.0000000 0.0000000 140.431 1.037 EM
8.532
2 -0.35228624D+03 1661.4101003 0.8250549 137.096 3.697 EM
9.207
3 -0.33651965D+03 15.7665827 0.0447550 133.181 7.013 EM
9.806
4 -0.32520046D+03 11.3191954 0.0336361 130.936 9.294 EM
9.769
5 -0.32210394D+03 3.0965205 0.0095219 129.688 10.587 EM
9.725
6 -0.32001273D+03 2.0912067 0.0064923 128.386 11.924 EM
9.690
7 -0.31827877D+03 1.7339602 0.0054184 127.023 13.324 EM
9.653
8 -0.31637823D+03 1.9005376 0.0059713 125.618 14.772 EM
9.610
9 -0.31433113D+03 2.0471026 0.0064704 123.948 16.496 EM
9.556
10 -0.31049446D+03 3.8366717 0.0122058 121.144 19.378 EM
9.478
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.28690510D+04 0.0000000 0.0000000 0.068 145.764 EM
4.168
2 -0.38822379D+03 2480.8272222 0.8646856 0.020 145.149 EM
4.830
3 -0.36404392D+03 24.1798753 0.0622833 0.288 141.724 EM
7.988
4 -0.35493381D+03 9.1101064 0.0250247 3.869 136.897 EM
9.234
5 -0.32886349D+03 26.0703171 0.0734512 13.873 126.774 EM
9.353
6 -0.28751330D+03 41.3501965 0.1257367 21.356 119.592 EM
9.053
7 -0.12867048D+03 158.8428160 0.5524712 27.956 113.153 EM
8.891
8 -0.46823329D+02 81.8471508 0.6360989 28.999 112.123 EM
8.878
9 -0.46799389D+02 0.0239392 0.0005113 28.999 112.122 EM
8.879
10 -0.46799389D+02 0.0000001 0.0000000 28.999 112.122 EM
8.879
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18189884D+04 0.0000000 0.0000000 1.353 142.910 EM
5.737
2 -0.35801782D+03 1460.9706025 0.8031775 5.425 131.705 EM
12.870
3 -0.31763967D+03 40.3781485 0.1127825 17.861 112.024 EM
20.115
4 -0.27096238D+03 46.6772878 0.1469504 30.732 95.406 EM
23.861
5 -0.24979341D+03 21.1689701 0.0781251 35.469 88.638 EM
25.893
6 -0.24233528D+03 7.4581337 0.0298572 38.043 84.490 EM
27.467
7 -0.23373572D+03 8.5995584 0.0354862 41.951 78.893 EM
29.157
8 -0.21895079D+03 14.7849296 0.0632549 45.566 73.650 EM
30.784
9 -0.20552047D+03 13.4303230 0.0613395 48.240 69.747 EM
32.012
10 -0.19310364D+03 12.4168318 0.0604165 49.747 67.372 EM
32.881
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18734551D+04 0.0000000 0.0000000 36.712 36.111 EM
77.177
2 -0.33355597D+03 1539.8991726 0.8219568 31.146 41.753 EM
77.101
3 -0.28645141D+03 47.1045553 0.1412193 23.070 44.204 EM
82.726
4 -0.23921498D+03 47.2364289 0.1649021 16.798 47.391 EM
85.811
5 -0.21647119D+03 22.7437980 0.0950768 14.675 48.545 EM
86.779
6 -0.21330021D+03 3.1709750 0.0146485 14.528 49.117 EM
86.355
7 -0.21023594D+03 3.0642688 0.0143660 15.698 49.575 EM
84.728
8 -0.20708800D+03 3.1479466 0.0149734 17.700 49.923 EM
82.377
9 -0.20348149D+03 3.6065096 0.0174153 20.470 50.000 EM
79.530
10 -0.19866742D+03 4.8140696 0.0236585 23.924 50.000 EM
76.076
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.25367984D+04 0.0000000 0.0000000 144.545 0.064 EM
5.392
2 -0.35611811D+03 2180.6803108 0.8596191 137.697 0.082 EM
12.221
3 -0.32981442D+03 26.3036921 0.0738623 126.197 0.182 EM
23.621
4 -0.29269611D+03 37.1183073 0.1125430 112.414 0.958 EM
36.628
5 -0.25515950D+03 37.5366152 0.1282443 103.231 2.284 EM
44.485
6 -0.21977598D+03 35.3835199 0.1386722 98.518 3.001 EM
48.481
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.25461497D+04 0.0000000 0.0000000 0.006 149.988 EM
0.005
2 -0.37978931D+03 2166.3604370 0.8508378 0.081 149.866 EM
0.053
3 -0.37391123D+03 5.8780802 0.0154772 0.992 147.939 EM
1.070
4 -0.34962408D+03 24.2871562 0.0649543 1.000 146.853 EM
2.147
5 -0.33204482D+03 17.5792594 0.0502805 1.000 146.379 EM
2.621
6 -0.33177864D+03 0.2661768 0.0008016 1.000 146.279 EM
2.721
7 -0.33177655D+03 0.0020860 0.0000063 1.000 146.271 EM
2.729
8 -0.33177654D+03 0.0000117 0.0000000 1.000 146.270 EM
2.730
9 -0.33177654D+03 0.0000001 0.0000000 1.000 146.270 EM
2.730
10 -0.33177654D+03 0.0000000 0.0000000 1.000 146.270 EM
2.730
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.24006382D+04 0.0000000 0.0000000 141.788 0.001 EM
8.210
2 -0.35507826D+03 2045.5599617 0.8520901 136.625 0.003 EM
13.372
3 -0.34160171D+03 13.4765520 0.0379538 132.862 0.009 EM
17.129
4 -0.33427112D+03 7.3305851 0.0214595 130.972 0.144 EM
18.884
5 -0.32897736D+03 5.2937606 0.0158367 127.461 2.371 EM
20.168
6 -0.31743810D+03 11.5392625 0.0350762 122.987 5.679 EM
21.334
7 -0.30402692D+03 13.4111835 0.0422482 116.656 10.970 EM
22.374
8 -0.29270214D+03 11.3247745 0.0372492 111.816 14.639 EM
23.545
9 -0.28287596D+03 9.8261853 0.0335706 106.112 18.656 EM
25.232
10 -0.27197803D+03 10.8979295 0.0385255 100.152 22.237 EM
27.611
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.23247250D+04 0.0000000 0.0000000 139.505 4.432 EM
6.064
2 -0.35899078D+03 1965.7342469 0.8455771 135.170 6.250 EM
8.580
3 -0.35050030D+03 8.4904783 0.0236510 131.014 9.453 EM
9.533
4 -0.34606933D+03 4.4309639 0.0126418 126.776 13.504 EM
9.720
5 -0.34281325D+03 3.2560809 0.0094088 122.775 17.490 EM
9.736
6 -0.34050992D+03 2.3033368 0.0067189 119.090 21.199 EM
9.710
7 -0.33868943D+03 1.8204869 0.0053464 115.533 24.785 EM
9.682
8 -0.33699472D+03 1.6947134 0.0050037 111.872 28.455 EM
9.673
9 -0.33520597D+03 1.7887453 0.0053079 107.881 32.432 EM
9.687
10 -0.33309343D+03 2.1125417 0.0063022 103.291 36.990 EM
9.719
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.14554459D+04 0.0000000 0.0000000 0.014 149.804 EM
0.182
2 -0.37337246D+03 1082.0733946 0.7434652 0.177 148.246 EM
1.578
3 -0.34374135D+03 29.6311074 0.0793607 2.209 145.791 EM
2.000
4 -0.32222734D+03 21.5140052 0.0625878 3.617 144.383 EM
2.000
5 -0.32179203D+03 0.4353139 0.0013510 3.823 144.177 EM
2.000
6 -0.32178548D+03 0.0065520 0.0000204 3.845 144.155 EM
2.000
7 -0.32178540D+03 0.0000730 0.0000002 3.848 144.152 EM
2.000
8 -0.32178540D+03 0.0000008 0.0000000 3.848 144.152 EM
2.000
9 -0.32178540D+03 0.0000000 0.0000000 3.848 144.152 EM
2.000
10 -0.32178540D+03 0.0000000 0.0000000 3.848 144.152 EM
2.000
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.15634128D+04 0.0000000 0.0000000 148.213 0.000 EM
1.787
2 -0.37192736D+03 1191.4854133 0.7621055 146.483 0.000 EM
3.517
3 -0.36817299D+03 3.7543688 0.0100944 146.066 0.001 EM
3.933
4 -0.35806269D+03 10.1102967 0.0274607 145.030 0.987 EM
3.983
5 -0.31458595D+03 43.4767382 0.1214221 145.000 1.000 EM
4.000
6 -0.31458529D+03 0.0006668 0.0000021 145.000 1.000 EM
4.000
7 -0.31458529D+03 0.0000000 0.0000000 145.000 1.000 EM
4.000
8 -0.31458529D+03 0.0000000 0.0000000 145.000 1.000 EM
4.000
9 -0.31458529D+03 0.0000000 0.0000000 145.000 1.000 EM
4.000
10 -0.31458529D+03 0.0000000 0.0000000 145.000 1.000 EM
4.000
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
10 -0.46799389D+02 0.0000001 0.0000000 28.999 112.122 EM
8.879
11 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
12 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
13 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
14 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
15 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
16 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
17 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
18 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
19 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
20 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
21 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
22 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
23 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
24 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
25 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
26 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
27 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
28 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
29 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
30 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
31 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
32 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
33 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
34 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
35 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
36 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
37 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
38 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
39 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
40 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
41 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
42 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
43 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
44 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
45 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
46 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
47 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
48 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
49 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
50 -0.46799389D+02 0.0000000 0.0000000 28.999 112.122 EM
8.879
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
10 -0.18377844D+03 0.9249974 0.0050080 50.000 50.185 EM
49.815
11 -0.18296456D+03 0.8138848 0.0044286 50.000 49.018 EM
50.982
12 -0.18229673D+03 0.6678256 0.0036500 50.000 48.037 EM
51.963
13 -0.18174260D+03 0.5541257 0.0030397 50.000 47.180 EM
52.820
14 -0.18114677D+03 0.5958299 0.0032784 50.000 46.411 EM
53.589
15 -0.18057653D+03 0.5702423 0.0031480 50.000 45.822 EM
54.178
16 -0.18030756D+03 0.2689713 0.0014895 50.000 45.435 EM
54.565
17 -0.18022329D+03 0.0842700 0.0004674 50.000 45.199 EM
54.801
18 -0.18019730D+03 0.0259935 0.0001442 50.000 45.062 EM
54.938
19 -0.18018920D+03 0.0080992 0.0000449 50.000 44.983 EM
55.017
20 -0.18018666D+03 0.0025427 0.0000141 50.000 44.938 EM
55.062
21 -0.18018585D+03 0.0008037 0.0000045 50.000 44.912 EM
55.088
22 -0.18018560D+03 0.0002553 0.0000014 50.000 44.898 EM
55.102
23 -0.18018552D+03 0.0000813 0.0000005 50.000 44.890 EM
55.110
24 -0.18018549D+03 0.0000260 0.0000001 50.000 44.885 EM
55.115
25 -0.18018548D+03 0.0000083 0.0000000 50.000 44.882 EM
55.118
26 -0.18018548D+03 0.0000026 0.0000000 50.000 44.881 EM
55.119
27 -0.18018548D+03 0.0000008 0.0000000 50.000 44.880 EM
55.120
28 -0.18018548D+03 0.0000003 0.0000000 50.000 44.880 EM
55.120
29 -0.18018548D+03 0.0000001 0.0000000 50.000 44.879 EM
55.121
30 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
31 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
32 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
33 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
34 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
35 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
36 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
37 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
38 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
39 -0.18018548D+03 0.0000000 0.0000000 50.000 44.879 EM
55.121
Beginning Time: 22:58:10
Ending Time: 22:58:10
Elapsed Time: 00:00:00
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
Copyright (c) 1998-2010 Muthen & Muthen
Back to table of examples