Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:25 PM
INPUT INSTRUCTIONS
title:
this is an example of a sequential
process GMM for continuous outcomes with
two categorical latent variables
montecarlo:
names are y1-y8;
genclasses = c1 (3) c2 (2);
classes = c1 (3) c2 (2);
nobs = 500;
seed = 3454367;
nrep = 1;
save = ex8.7.dat;
analysis:
type = mixture;
model population:
%overall%
y1-y8*.5;
i1 s1 | y1@0 y2@1 y3@2 y4@3;
i1*1; s1*.2;
i2 s2 | y5@0 y6@1 y7@2 y8@3;
i2*1; s2*.2;
c2#1 on c1#1*1 c1#2*.8;
model population-c1:
%c1#1%
[i1*0 s1*0];
%c1#2%
[i1*2 s1*1];
%c1#3%
[i1*4 s1*1.5];
model population-c2:
%c2#1%
[i2*0 s2*0];
%c2#2%
[i2*-2 s2*-1];
model:
%overall%
y1-y8*.5;
i1 s1 | y1@0 y2@1 y3@2 y4@3;
i1*1; s1*.2;
i2 s2 | y5@0 y6@1 y7@2 y8@3;
i2*1; s2*.2;
c2#1 on c1#1*1 c1#2*.8;
model c1:
%c1#1%
[i1*0 s1*0];
%c1#2%
[i1*2 s1*1];
%c1#3%
[i1*4 s1*1.5];
model c2:
%c2#1%
[i2*0 s2*0];
%c2#2%
[i2*-2 s2*-1];
output:
tech8 tech9;
INPUT READING TERMINATED NORMALLY
this is an example of a sequential
process GMM for continuous outcomes with
two categorical latent variables
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 8
Number of independent variables 0
Number of continuous latent variables 4
Number of categorical latent variables 2
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4 Y5 Y6
Y7 Y8
Continuous latent variables
I1 S1 I2 S2
Categorical latent variables
C1 C2
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
Parameterization LOGIT
SAMPLE STATISTICS FOR THE FIRST REPLICATION
SAMPLE STATISTICS
Means
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
1.921 2.727 3.522 4.349 -0.710
Means
Y6 Y7 Y8
________ ________ ________
-1.107 -1.487 -1.905
Covariances
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 4.312
Y2 4.729 6.810
Y3 5.713 7.857 10.393
Y4 6.613 9.401 11.963 15.014
Y5 -0.455 -0.467 -0.448 -0.564 2.470
Y6 -0.822 -0.968 -1.099 -1.322 2.511
Y7 -1.075 -1.238 -1.368 -1.677 2.908
Y8 -1.512 -1.780 -2.051 -2.448 3.268
Covariances
Y6 Y7 Y8
________ ________ ________
Y6 3.894
Y7 4.288 6.198
Y8 5.117 6.939 9.138
Correlations
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1.000
Y2 0.873 1.000
Y3 0.853 0.934 1.000
Y4 0.822 0.930 0.958 1.000
Y5 -0.140 -0.114 -0.088 -0.093 1.000
Y6 -0.201 -0.188 -0.173 -0.173 0.810
Y7 -0.208 -0.190 -0.170 -0.174 0.743
Y8 -0.241 -0.226 -0.210 -0.209 0.688
Correlations
Y6 Y7 Y8
________ ________ ________
Y6 1.000
Y7 0.873 1.000
Y8 0.858 0.922 1.000
MODEL FIT INFORMATION
Number of Free Parameters 33
Loglikelihood
H0 Value
Mean -6606.707
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -6606.707 -6606.707
0.980 0.000 -6606.707 -6606.707
0.950 0.000 -6606.707 -6606.707
0.900 0.000 -6606.707 -6606.707
0.800 0.000 -6606.707 -6606.707
0.700 0.000 -6606.707 -6606.707
0.500 0.000 -6606.707 -6606.707
0.300 0.000 -6606.707 -6606.707
0.200 0.000 -6606.707 -6606.707
0.100 0.000 -6606.707 -6606.707
0.050 0.000 -6606.707 -6606.707
0.020 0.000 -6606.707 -6606.707
0.010 0.000 -6606.707 -6606.707
Information Criteria
Akaike (AIC)
Mean 13279.414
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 13279.414 13279.414
0.980 0.000 13279.414 13279.414
0.950 0.000 13279.414 13279.414
0.900 0.000 13279.414 13279.414
0.800 0.000 13279.414 13279.414
0.700 0.000 13279.414 13279.414
0.500 0.000 13279.414 13279.414
0.300 0.000 13279.414 13279.414
0.200 0.000 13279.414 13279.414
0.100 0.000 13279.414 13279.414
0.050 0.000 13279.414 13279.414
0.020 0.000 13279.414 13279.414
0.010 0.000 13279.414 13279.414
Bayesian (BIC)
Mean 13418.496
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 13418.496 13418.496
0.980 0.000 13418.496 13418.496
0.950 0.000 13418.496 13418.496
0.900 0.000 13418.496 13418.496
0.800 0.000 13418.496 13418.496
0.700 0.000 13418.496 13418.496
0.500 0.000 13418.496 13418.496
0.300 0.000 13418.496 13418.496
0.200 0.000 13418.496 13418.496
0.100 0.000 13418.496 13418.496
0.050 0.000 13418.496 13418.496
0.020 0.000 13418.496 13418.496
0.010 0.000 13418.496 13418.496
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 13313.752
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 13313.752 13313.752
0.980 0.000 13313.752 13313.752
0.950 0.000 13313.752 13313.752
0.900 0.000 13313.752 13313.752
0.800 0.000 13313.752 13313.752
0.700 0.000 13313.752 13313.752
0.500 0.000 13313.752 13313.752
0.300 0.000 13313.752 13313.752
0.200 0.000 13313.752 13313.752
0.100 0.000 13313.752 13313.752
0.050 0.000 13313.752 13313.752
0.020 0.000 13313.752 13313.752
0.010 0.000 13313.752 13313.752
MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER
C1 C2
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL
Latent Class
Pattern
1 1 138.22689 0.27645
1 2 36.56881 0.07314
2 1 132.23612 0.26447
2 2 47.35794 0.09472
3 1 59.61907 0.11924
3 2 85.99117 0.17198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
C1 1 174.79568 0.34959
2 179.59407 0.35919
3 145.61024 0.29122
C2 1 330.08209 0.66016
2 169.91792 0.33984
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
C1 Classes (Rows) by C2 Classes (Columns)
1 2
1 0.791 0.209
2 0.736 0.264
3 0.409 0.591
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 138.22682 0.27645
1 2 36.56881 0.07314
2 1 132.23604 0.26447
2 2 47.35783 0.09472
3 1 59.61923 0.11924
3 2 85.99128 0.17198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Variable Class
C1 1 174.79564 0.34959
2 179.59387 0.35919
3 145.61050 0.29122
C2 1 330.08209 0.66016
2 169.91791 0.33984
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Class Counts and Proportions
Latent Class
Pattern
1 1 136 0.27200
1 2 37 0.07400
2 1 143 0.28600
2 2 43 0.08600
3 1 53 0.10600
3 2 88 0.17600
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Latent Class
Variable Class
C1 1 173 0.34600
2 186 0.37200
3 141 0.28200
C2 1 332 0.66400
2 168 0.33600
CLASSIFICATION QUALITY
Entropy 0.721
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Parameters in the Overall Part of the Model (Parameters Equal in All of the Classes)
I1 |
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
S1 |
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
I2 |
Y5 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y6 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y7 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y8 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
S2 |
Y5 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y6 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y7 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
Y8 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
S1 WITH
I1 0.000 0.0218 0.0000 0.0516 0.0005 1.000 0.000
I2 WITH
I1 0.000 0.0065 0.0000 0.1190 0.0000 1.000 0.000
S1 0.000 0.0691 0.0000 0.0454 0.0048 1.000 0.000
S2 WITH
I1 0.000 -0.0290 0.0000 0.0595 0.0008 1.000 0.000
S1 0.000 -0.0026 0.0000 0.0231 0.0000 1.000 0.000
I2 0.000 -0.0787 0.0000 0.0368 0.0062 0.000 1.000
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
Y5 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y6 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y7 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y8 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Variances
I1 1.000 1.0152 0.0000 0.1810 0.0002 1.000 1.000
S1 0.200 0.2208 0.0000 0.0358 0.0004 1.000 1.000
I2 1.000 1.1685 0.0000 0.1314 0.0284 1.000 1.000
S2 0.200 0.2410 0.0000 0.0310 0.0017 1.000 1.000
Residual Variances
Y1 0.500 0.5791 0.0000 0.0684 0.0063 1.000 1.000
Y2 0.500 0.4595 0.0000 0.0419 0.0016 1.000 1.000
Y3 0.500 0.4995 0.0000 0.0499 0.0000 1.000 1.000
Y4 0.500 0.4010 0.0000 0.0828 0.0098 1.000 1.000
Y5 0.500 0.3671 0.0000 0.0604 0.0177 0.000 1.000
Y6 0.500 0.4835 0.0000 0.0394 0.0003 1.000 1.000
Y7 0.500 0.5598 0.0000 0.0508 0.0036 1.000 1.000
Y8 0.500 0.4459 0.0000 0.0861 0.0029 1.000 1.000
Parameters for Class-specific Model Parts of C1
Latent Class C1#1
Means
I1 0.000 -0.0544 0.0000 0.1285 0.0030 1.000 0.000
S1 0.000 0.0528 0.0000 0.0602 0.0028 1.000 0.000
Latent Class C1#2
Means
I1 2.000 2.0682 0.0000 0.1820 0.0046 1.000 1.000
S1 1.000 1.0172 0.0000 0.0801 0.0003 1.000 1.000
Latent Class C1#3
Means
I1 4.000 4.0985 0.0000 0.2118 0.0097 1.000 1.000
S1 1.500 1.4582 0.0000 0.0617 0.0018 1.000 1.000
Parameters for Class-specific Model Parts of C2
Latent Class C2#1
Means
I2 0.000 -0.0115 0.0000 0.0765 0.0001 1.000 0.000
S2 0.000 -0.0501 0.0000 0.0423 0.0025 1.000 0.000
Latent Class C2#2
Means
I2 -2.000 -2.0606 0.0000 0.1345 0.0037 1.000 1.000
S2 -1.000 -1.0697 0.0000 0.0481 0.0049 1.000 1.000
Categorical Latent Variables
C2#1 ON
C1#1 1.000 1.6960 0.0000 0.4298 0.4844 1.000 1.000
C1#2 0.800 1.3931 0.0000 0.3975 0.3518 1.000 1.000
Means
C1#1 0.000 0.1827 0.0000 0.2090 0.0334 1.000 0.000
C1#2 0.000 0.2098 0.0000 0.2641 0.0440 1.000 0.000
C2#1 0.000 -0.3663 0.0000 0.2796 0.1342 1.000 0.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.115E-03
(ratio of smallest to largest eigenvalue)
C-SPECIFIC CLASSIFICATION RESULTS
Classification Quality for C1
Entropy 0.687
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.926 0.074 0.000
2 0.079 0.792 0.129
3 0.000 0.138 0.862
Classification Quality for C2
Entropy 0.770
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.948 0.052
2 0.091 0.909
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
9 10 11 12
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
9 10 23 24
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
25 26 11 12
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
25 26 23 24
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 3 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
27 28 11 12
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 3 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y6 Y7 Y8
________ ________ ________
0 0 0
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 0 0 0 0
Y2 0 0 0 0
Y3 0 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0
Y6 0 0 0 0
Y7 0 0 0 0
Y8 0 0 0 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1
Y2 0 2
Y3 0 0 3
Y4 0 0 0 4
Y5 0 0 0 0 5
Y6 0 0 0 0 0
Y7 0 0 0 0 0
Y8 0 0 0 0 0
THETA
Y6 Y7 Y8
________ ________ ________
Y6 6
Y7 0 7
Y8 0 0 8
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
27 28 23 24
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0 0 0 0
S1 0 0 0 0
I2 0 0 0 0
S2 0 0 0 0
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 13
S1 14 15
I2 16 17 18
S2 19 20 21 22
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
29 30 0 31 0
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 32 33 0
C2#2 0 0 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
0.000 0.000 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
0.000 0.000 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
2.000 1.000 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
2.000 1.000 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS PATTERN 3 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
4.000 1.500 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS PATTERN 3 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
4.000 1.500 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 1.000 0.800 0.000
C2#2 0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
0.000 0.000 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
0.000 0.000 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
2.000 1.000 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
2.000 1.000 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS PATTERN 3 1
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
4.000 1.500 0.000 0.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS PATTERN 3 2
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
NU
Y6 Y7 Y8
________ ________ ________
0.000 0.000 0.000
LAMBDA
I1 S1 I2 S2
________ ________ ________ ________
Y1 1.000 0.000 0.000 0.000
Y2 1.000 1.000 0.000 0.000
Y3 1.000 2.000 0.000 0.000
Y4 1.000 3.000 0.000 0.000
Y5 0.000 0.000 1.000 0.000
Y6 0.000 0.000 1.000 1.000
Y7 0.000 0.000 1.000 2.000
Y8 0.000 0.000 1.000 3.000
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0.500
Y2 0.000 0.500
Y3 0.000 0.000 0.500
Y4 0.000 0.000 0.000 0.500
Y5 0.000 0.000 0.000 0.000 0.500
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
THETA
Y6 Y7 Y8
________ ________ ________
Y6 0.500
Y7 0.000 0.500
Y8 0.000 0.000 0.500
ALPHA
I1 S1 I2 S2
________ ________ ________ ________
4.000 1.500 -2.000 -1.000
BETA
I1 S1 I2 S2
________ ________ ________ ________
I1 0.000 0.000 0.000 0.000
S1 0.000 0.000 0.000 0.000
I2 0.000 0.000 0.000 0.000
S2 0.000 0.000 0.000 0.000
PSI
I1 S1 I2 S2
________ ________ ________ ________
I1 1.000
S1 0.000 0.200
I2 0.000 0.000 1.000
S2 0.000 0.000 0.000 0.200
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C1#1 C1#2 C1#3 C2#1 C2#2
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
BETA(C)
C1#1 C1#2 C1#3
________ ________ ________
C2#1 1.000 0.800 0.000
C2#2 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
TECHNICAL 8 OUTPUT FOR REPLICATION 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.66213906D+04 0.0000000 0.0000000 EM
2 -0.66083076D+04 13.0829733 0.0019759 EM
3 -0.66073915D+04 0.9161421 0.0001386 EM
4 -0.66070697D+04 0.3217824 0.0000487 EM
5 -0.66069291D+04 0.1406381 0.0000213 EM
6 -0.66068583D+04 0.0707619 0.0000107 EM
7 -0.66068183D+04 0.0399558 0.0000060 EM
8 -0.66067934D+04 0.0249336 0.0000038 EM
9 -0.66067765D+04 0.0169175 0.0000026 EM
10 -0.66067642D+04 0.0122650 0.0000019 EM
11 -0.66067549D+04 0.0093484 0.0000014 EM
12 -0.66067475D+04 0.0073918 0.0000011 EM
13 -0.66067415D+04 0.0060010 0.0000009 EM
14 -0.66067365D+04 0.0049641 0.0000008 EM
15 -0.66067324D+04 0.0041619 0.0000006 EM
16 -0.66067288D+04 0.0035229 0.0000005 EM
17 -0.66067258D+04 0.0030026 0.0000005 EM
18 -0.66067233D+04 0.0025719 0.0000004 EM
19 -0.66067210D+04 0.0022109 0.0000003 EM
20 -0.66067191D+04 0.0019055 0.0000003 EM
21 -0.66067175D+04 0.0016456 0.0000002 EM
22 -0.66067161D+04 0.0014232 0.0000002 EM
23 -0.66067148D+04 0.0012320 0.0000002 EM
24 -0.66067138D+04 0.0010674 0.0000002 EM
25 -0.66067128D+04 0.0009253 0.0000001 EM
26 -0.66067120D+04 0.0008024 0.0000001 EM
27 -0.66067113D+04 0.0006961 0.0000001 EM
28 -0.66067107D+04 0.0006039 0.0000001 EM
29 -0.66067102D+04 0.0005240 0.0000001 EM
30 -0.66067098D+04 0.0004547 0.0000001 EM
31 -0.66067094D+04 0.0003946 0.0000001 EM
32 -0.66067090D+04 0.0003424 0.0000001 EM
33 -0.66067087D+04 0.0002974 0.0000000 EM
34 -0.66067085D+04 0.0002580 0.0000000 EM
35 -0.66067082D+04 0.0002238 0.0000000 EM
36 -0.66067081D+04 0.0001942 0.0000000 EM
37 -0.66067070D+04 0.0010171 0.0000002 FS
38 -0.66067069D+04 0.0001661 0.0000000 FS
39 -0.66067068D+04 0.0000408 0.0000000 FS
40 -0.66067068D+04 0.0000118 0.0000000 FS
41 -0.66067068D+04 0.0000027 0.0000000 FS
42 -0.66067068D+04 0.0000211 0.0000000 EM
43 -0.66067068D+04 0.0000039 0.0000000 EM
44 -0.66067068D+04 0.0000014 0.0000000 EM
45 -0.66067068D+04 0.0000006 0.0000000 EM
46 -0.66067068D+04 0.0000003 0.0000000 EM
47 -0.66067068D+04 0.0000002 0.0000000 EM
48 -0.66067068D+04 0.0000001 0.0000000 EM
49 -0.66067068D+04 0.0000001 0.0000000 EM
50 -0.66067068D+04 0.0000000 0.0000000 EM
51 -0.66067068D+04 0.0000000 0.0000000 EM
52 -0.66067068D+04 0.0000000 0.0000000 EM
53 -0.66067068D+04 0.0000000 0.0000000 EM
54 -0.66067068D+04 0.0000000 0.0000000 EM
55 -0.66067068D+04 0.0000000 0.0000000 EM
56 -0.66067068D+04 0.0000000 0.0000000 EM
57 -0.66067068D+04 0.0000000 0.0000000 EM
58 -0.66067068D+04 0.0000000 0.0000000 EM
59 -0.66067068D+04 0.0000000 0.0000000 EM
60 -0.66067068D+04 0.0000000 0.0000000 EM
61 -0.66067068D+04 0.0000000 0.0000000 EM
62 -0.66067068D+04 0.0000000 0.0000000 EM
63 -0.66067068D+04 0.0000000 0.0000000 EM
64 -0.66067068D+04 0.0000000 0.0000000 EM
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
Y1
Y2
Y3
Y4
Y5
Y6
Y7
Y8
C1
C2
Save file
ex8.7.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:25:05
Ending Time: 22:25:06
Elapsed Time: 00:00:01
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