Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:14 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a GMM for a censored
outcome using a censored model with
automatic starting values and random
starts
DATA: FILE IS ex8.3.dat;
VARIABLE: NAMES ARE y1-y4 x c;
USEV = y1-y4 x;
CLASSES = c (2);
CENSORED = y1-y4 (b);
ANALYSIS: TYPE = MIXTURE;
ALGORITHM = INTEGRATION;
MODEL:
%OVERALL%
i s | y1@0 y2@1 y3@2 y4@3;
i s ON x;
c ON x;
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of a GMM for a censored
outcome using a censored model with
automatic starting values and random
starts
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 4
Number of independent variables 1
Number of continuous latent variables 2
Number of categorical latent variables 1
Observed dependent variables
Censored
Y1 Y2 Y3 Y4
Observed independent variables
X
Continuous latent variables
I S
Categorical latent variables
C
Estimator MLR
Information matrix OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
Maximum number of iterations 100
Convergence criterion 0.100D-05
Optimization Specifications for the EM Algorithm
Maximum number of iterations 500
Convergence criteria
Loglikelihood change 0.100D-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 2
Adaptive quadrature ON
Random Starts Specifications
Number of initial stage random starts 20
Number of final stage optimizations 4
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
Cholesky ON
Input data file(s)
ex8.3.dat
Input data format FREE
SUMMARY OF CENSORED LIMITS
Y1 0.000
Y2 0.000
Y3 0.000
Y4 0.000
UNIVARIATE SAMPLE STATISTICS
UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS
Variable/ Mean/ Skewness/ Minimum/ % with Percentiles
Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median
X -0.008 0.075 -2.614 0.20% -0.823 -0.278 -0.066
500.000 1.001 -0.167 3.025 0.20% 0.223 0.863
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-3211.438 127215 9
-3217.932 285380 1
-3220.094 399671 13
-3221.983 unperturbed 0
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
MODEL FIT INFORMATION
Number of Free Parameters 15
Loglikelihood
H0 Value -3211.438
H0 Scaling Correction Factor 0.9845
for MLR
Information Criteria
Akaike (AIC) 6452.876
Bayesian (BIC) 6516.095
Sample-Size Adjusted BIC 6468.484
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 243.33166 0.48666
2 256.66834 0.51334
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 243.33166 0.48666
2 256.66834 0.51334
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 247 0.49400
2 253 0.50600
CLASSIFICATION QUALITY
Entropy 0.600
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.874 0.126
2 0.108 0.892
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.888 0.112
2 0.121 0.879
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 2.066 0.000
2 -1.984 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
I |
Y1 1.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 1.000 0.000 999.000 999.000
Y4 1.000 0.000 999.000 999.000
S |
Y1 0.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 2.000 0.000 999.000 999.000
Y4 3.000 0.000 999.000 999.000
I ON
X 0.287 0.081 3.537 0.000
S ON
X 0.305 0.046 6.671 0.000
S WITH
I -0.054 0.058 -0.933 0.351
Intercepts
I 3.052 0.127 23.984 0.000
S 1.001 0.076 13.208 0.000
Y1 0.000 0.000 999.000 999.000
Y2 0.000 0.000 999.000 999.000
Y3 0.000 0.000 999.000 999.000
Y4 0.000 0.000 999.000 999.000
Residual Variances
I 0.892 0.147 6.062 0.000
S 0.495 0.050 9.821 0.000
Y1 0.590 0.080 7.361 0.000
Y2 0.479 0.045 10.719 0.000
Y3 0.491 0.058 8.431 0.000
Y4 0.467 0.101 4.633 0.000
Latent Class 2
I |
Y1 1.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 1.000 0.000 999.000 999.000
Y4 1.000 0.000 999.000 999.000
S |
Y1 0.000 0.000 999.000 999.000
Y2 1.000 0.000 999.000 999.000
Y3 2.000 0.000 999.000 999.000
Y4 3.000 0.000 999.000 999.000
I ON
X 0.287 0.081 3.537 0.000
S ON
X 0.305 0.046 6.671 0.000
S WITH
I -0.054 0.058 -0.933 0.351
Intercepts
I 0.943 0.108 8.694 0.000
S 0.421 0.075 5.580 0.000
Y1 0.000 0.000 999.000 999.000
Y2 0.000 0.000 999.000 999.000
Y3 0.000 0.000 999.000 999.000
Y4 0.000 0.000 999.000 999.000
Residual Variances
I 0.892 0.147 6.062 0.000
S 0.495 0.050 9.821 0.000
Y1 0.590 0.080 7.361 0.000
Y2 0.479 0.045 10.719 0.000
Y3 0.491 0.058 8.431 0.000
Y4 0.467 0.101 4.633 0.000
Categorical Latent Variables
C#1 ON
X -0.798 0.173 -4.603 0.000
Intercepts
C#1 -0.070 0.173 -0.403 0.687
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.170E-01
(ratio of smallest to largest eigenvalue)
LOGISTIC REGRESSION ODDS RATIO RESULTS
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Categorical Latent Variables
C#1 ON
X 0.450 0.078 0.321 0.633
ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Parameterization using Reference Class 1
C#2 ON
X 0.798 0.173 4.603 0.000
Intercepts
C#2 0.070 0.173 0.403 0.687
ODDS RATIO FOR THE ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Parameterization using Reference Class 1
C#2 ON
X 2.220 0.385 1.581 3.118
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y3 Y4#1 Y4 X
________ ________ ________ ________
0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1#1 0 0 0
Y1 0 0 0
Y2#1 0 0 0
Y2 0 0 0
Y3#1 0 0 0
Y3 0 0 0
Y4#1 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
Y1#1 0
Y1 0 1
Y2#1 0 0 0
Y2 0 0 0 2
Y3#1 0 0 0 0 0
Y3 0 0 0 0 0
Y4#1 0 0 0 0 0
Y4 0 0 0 0 0
X 0 0 0 0 0
THETA
Y3 Y4#1 Y4 X
________ ________ ________ ________
Y3 3
Y4#1 0 0
Y4 0 0 4
X 0 0 0 0
ALPHA
I S X
________ ________ ________
5 6 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
0 0 0 0 0
NU
Y3 Y4#1 Y4 X
________ ________ ________ ________
0 0 0 0
LAMBDA
I S X
________ ________ ________
Y1#1 0 0 0
Y1 0 0 0
Y2#1 0 0 0
Y2 0 0 0
Y3#1 0 0 0
Y3 0 0 0
Y4#1 0 0 0
Y4 0 0 0
X 0 0 0
THETA
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
Y1#1 0
Y1 0 1
Y2#1 0 0 0
Y2 0 0 0 2
Y3#1 0 0 0 0 0
Y3 0 0 0 0 0
Y4#1 0 0 0 0 0
Y4 0 0 0 0 0
X 0 0 0 0 0
THETA
Y3 Y4#1 Y4 X
________ ________ ________ ________
Y3 3
Y4#1 0 0
Y4 0 0 4
X 0 0 0 0
ALPHA
I S X
________ ________ ________
12 13 0
BETA
I S X
________ ________ ________
I 0 0 7
S 0 0 8
X 0 0 0
PSI
I S X
________ ________ ________
I 9
S 10 11
X 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
14 0
GAMMA(C)
I S X
________ ________ ________
C#1 0 0 15
C#2 0 0 0
STARTING VALUES FOR LATENT CLASS 1
NU
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
-20.000 0.000 -20.000 0.000 -20.000
NU
Y3 Y4#1 Y4 X
________ ________ ________ ________
0.000 -20.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1#1 0.000 0.000 0.000
Y1 1.000 0.000 0.000
Y2#1 0.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3#1 0.000 0.000 0.000
Y3 1.000 2.000 0.000
Y4#1 0.000 0.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
Y1#1 0.000
Y1 0.000 1.052
Y2#1 0.000 0.000 0.000
Y2 0.000 0.000 0.000 1.523
Y3#1 0.000 0.000 0.000 0.000 0.000
Y3 0.000 0.000 0.000 0.000 0.000
Y4#1 0.000 0.000 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000 0.000
X 0.000 0.000 0.000 0.000 0.000
THETA
Y3 Y4#1 Y4 X
________ ________ ________ ________
Y3 2.431
Y4#1 0.000 0.000
Y4 0.000 0.000 3.940
X 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
2.024 0.714 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 1.964
S 0.000 0.623
X 0.000 0.000 0.500
STARTING VALUES FOR LATENT CLASS 2
NU
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
-20.000 0.000 -20.000 0.000 -20.000
NU
Y3 Y4#1 Y4 X
________ ________ ________ ________
0.000 -20.000 0.000 0.000
LAMBDA
I S X
________ ________ ________
Y1#1 0.000 0.000 0.000
Y1 1.000 0.000 0.000
Y2#1 0.000 0.000 0.000
Y2 1.000 1.000 0.000
Y3#1 0.000 0.000 0.000
Y3 1.000 2.000 0.000
Y4#1 0.000 0.000 0.000
Y4 1.000 3.000 0.000
X 0.000 0.000 1.000
THETA
Y1#1 Y1 Y2#1 Y2 Y3#1
________ ________ ________ ________ ________
Y1#1 0.000
Y1 0.000 1.052
Y2#1 0.000 0.000 0.000
Y2 0.000 0.000 0.000 1.523
Y3#1 0.000 0.000 0.000 0.000 0.000
Y3 0.000 0.000 0.000 0.000 0.000
Y4#1 0.000 0.000 0.000 0.000 0.000
Y4 0.000 0.000 0.000 0.000 0.000
X 0.000 0.000 0.000 0.000 0.000
THETA
Y3 Y4#1 Y4 X
________ ________ ________ ________
Y3 2.431
Y4#1 0.000 0.000
Y4 0.000 0.000 3.940
X 0.000 0.000 0.000 0.000
ALPHA
I S X
________ ________ ________
2.024 0.714 0.000
BETA
I S X
________ ________ ________
I 0.000 0.000 0.000
S 0.000 0.000 0.000
X 0.000 0.000 0.000
PSI
I S X
________ ________ ________
I 1.964
S 0.000 0.623
X 0.000 0.000 0.500
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
I S X
________ ________ ________
C#1 0.000 0.000 0.000
C#2 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.35865893D+04 0.0000000 0.0000000 EM
2 -0.33544242D+04 232.1651055 0.0647314 EM
3 -0.32707761D+04 83.6480553 0.0249366 EM
4 -0.32427234D+04 28.0527319 0.0085768 EM
5 -0.32307822D+04 11.9411432 0.0036824 EM
6 -0.32285382D+04 2.2440081 0.0006946 EM
7 -0.32273982D+04 1.1400347 0.0003531 EM
8 -0.32266175D+04 0.7806673 0.0002419 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.45493155D+04 0.0000000 0.0000000 EM
2 -0.40940957D+04 455.2198229 0.1000634 FS
3 -0.36700573D+04 424.0383692 0.1035731 FS
4 -0.34649502D+04 205.1071307 0.0558866 FS
5 -0.33256570D+04 139.2932494 0.0402006 FS
6 -0.32656740D+04 59.9829098 0.0180364 FS
7 -0.32313441D+04 34.3299589 0.0105124 FS
8 -0.32248846D+04 6.4595310 0.0019990 FS
9 -0.32228619D+04 2.0226388 0.0006272 FS
10 -0.32221138D+04 0.7481256 0.0002321 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.71311821D+04 0.0000000 0.0000000 EM
2 -0.47322038D+04 2398.9782959 0.3364068 EM
3 -0.42486304D+04 483.5734474 0.1021878 EM
4 -0.40969148D+04 151.7155588 0.0357093 EM
5 -0.38572632D+04 239.6516187 0.0584956 EM
6 -0.36910076D+04 166.2556464 0.0431020 EM
7 -0.36276598D+04 63.3477171 0.0171627 EM
8 -0.35867417D+04 40.9181190 0.0112795 EM
9 -0.35553435D+04 31.3981813 0.0087540 EM
10 -0.35307616D+04 24.5818983 0.0069141 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.83075398D+04 0.0000000 0.0000000 EM
2 -0.36801046D+04 4627.4351917 0.5570163 EM
3 -0.34660361D+04 214.0684759 0.0581691 EM
4 -0.34178887D+04 48.1474149 0.0138912 EM
5 -0.33956472D+04 22.2414335 0.0065074 EM
6 -0.33829185D+04 12.7287202 0.0037485 EM
7 -0.33705896D+04 12.3289559 0.0036445 EM
8 -0.33580416D+04 12.5479496 0.0037228 EM
9 -0.33454424D+04 12.5991972 0.0037519 EM
10 -0.33334598D+04 11.9826557 0.0035818 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.52991827D+04 0.0000000 0.0000000 EM
2 -0.39344277D+04 1364.7549574 0.2575407 EM
3 -0.37072797D+04 227.1479935 0.0577334 EM
4 -0.36567828D+04 50.4969513 0.0136210 EM
5 -0.36268865D+04 29.8963128 0.0081756 EM
6 -0.35945480D+04 32.3385209 0.0089163 EM
7 -0.35693017D+04 25.2462799 0.0070235 EM
8 -0.35639247D+04 5.3769748 0.0015065 EM
9 -0.35578364D+04 6.0883399 0.0017083 EM
10 -0.35501885D+04 7.6479025 0.0021496 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.75752683D+04 0.0000000 0.0000000 EM
2 -0.70023576D+04 572.9107283 0.0756291 FS
3 -0.65005511D+04 501.8065476 0.0716625 FS
4 -0.62695489D+04 231.0021819 0.0355358 FS
5 -0.56722596D+04 597.2893084 0.0952683 FS
6 -0.52265771D+04 445.6824320 0.0785723 FS
7 -0.48771003D+04 349.4768760 0.0668653 FS
8 -0.45478025D+04 329.2977655 0.0675192 FS
9 -0.42850237D+04 262.7787926 0.0577815 FS
10 -0.40695611D+04 215.4625923 0.0502827 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.50937164D+04 0.0000000 0.0000000 EM
2 -0.45558402D+04 537.8762058 0.1055960 EM
3 -0.43712995D+04 184.5406386 0.0405064 EM
4 -0.42529840D+04 118.3154997 0.0270664 EM
5 -0.42052094D+04 47.7746170 0.0112332 EM
6 -0.41613879D+04 43.8214803 0.0104208 EM
7 -0.41200034D+04 41.3844700 0.0099449 EM
8 -0.40804266D+04 39.5768317 0.0096060 EM
9 -0.40423147D+04 38.1119039 0.0093402 EM
10 -0.40054760D+04 36.8387059 0.0091133 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.52420961D+04 0.0000000 0.0000000 EM
2 -0.49405677D+04 301.5284584 0.0575206 FS
3 -0.44140775D+04 526.4901746 0.1065647 FS
4 -0.40955536D+04 318.5239562 0.0721609 EM
5 -0.40481272D+04 47.4263320 0.0115800 EM
6 -0.40519276D+04 -3.8003362 -0.0009388 EM
7 -0.40181263D+04 33.8012530 0.0083420 EM
8 -0.40278752D+04 -9.7488720 -0.0024262 EM
9 -0.40097138D+04 18.1613628 0.0045089 EM
10 -0.40367739D+04 -27.0600510 -0.0067486 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.55421705D+04 0.0000000 0.0000000 EM
2 -0.51300936D+04 412.0768784 0.0743530 FS
3 -0.46716504D+04 458.4432271 0.0893635 FS
4 -0.45441807D+04 127.4696905 0.0272858 FS
5 -0.43320916D+04 212.0890745 0.0466727 FS
6 -0.41634771D+04 168.6145758 0.0389222 FS
7 -0.40560352D+04 107.4418661 0.0258058 FS
8 -0.39726716D+04 83.3635575 0.0205530 FS
9 -0.39076407D+04 65.0308980 0.0163696 FS
10 -0.38520415D+04 55.5992852 0.0142284 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.83114095D+04 0.0000000 0.0000000 EM
2 -0.42068744D+04 4104.5351481 0.4938434 EM
3 -0.40148346D+04 192.0397844 0.0456490 FS
4 -0.35843712D+04 430.4634013 0.1072182 FS
5 -0.34058561D+04 178.5150730 0.0498037 FS
6 -0.33372770D+04 68.5791355 0.0201357 FS
7 -0.32792460D+04 58.0309494 0.0173887 FS
8 -0.32532324D+04 26.0136725 0.0079328 FS
9 -0.32349821D+04 18.2502605 0.0056099 FS
10 -0.32260185D+04 8.9636278 0.0027708 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.67199733D+04 0.0000000 0.0000000 EM
2 -0.61954033D+04 524.5699235 0.0780613 FS
3 -0.57693624D+04 426.0409350 0.0687673 FS
4 -0.56772744D+04 92.0880126 0.0159616 FS
5 -0.55171600D+04 160.1144296 0.0282027 FS
6 -0.53144156D+04 202.7443826 0.0367480 FS
7 -0.50514516D+04 262.9639447 0.0494813 FS
8 -0.49786198D+04 72.8318067 0.0144180 FS
9 -0.48299992D+04 148.6205959 0.0298518 FS
10 -0.47533015D+04 76.6977141 0.0158794 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.56143020D+04 0.0000000 0.0000000 EM
2 -0.45084201D+04 1105.8819351 0.1969759 FS
3 -0.41647091D+04 343.7109755 0.0762376 FS
4 -0.38908797D+04 273.8294121 0.0657499 EM
5 -0.37627574D+04 128.1223384 0.0329289 EM
6 -0.37113140D+04 51.4433726 0.0136717 EM
7 -0.36784965D+04 32.8174767 0.0088425 EM
8 -0.36591842D+04 19.3123223 0.0052501 EM
9 -0.36337722D+04 25.4119864 0.0069447 EM
10 -0.36137626D+04 20.0096369 0.0055066 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.55579985D+04 0.0000000 0.0000000 EM
2 -0.51029131D+04 455.0853536 0.0818794 FS
3 -0.46660068D+04 436.9062898 0.0856190 FS
4 -0.43016138D+04 364.3930426 0.0780953 FS
5 -0.39670612D+04 334.5525732 0.0777737 FS
6 -0.37334233D+04 233.6379294 0.0588945 FS
7 -0.35606368D+04 172.7865067 0.0462810 FS
8 -0.34334558D+04 127.1809520 0.0357186 FS
9 -0.33455180D+04 87.9378093 0.0256120 FS
10 -0.33297699D+04 15.7481539 0.0047072 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.49160430D+04 0.0000000 0.0000000 EM
2 -0.43890296D+04 527.0134167 0.1072028 FS
3 -0.40597222D+04 329.3074421 0.0750297 FS
4 -0.35610850D+04 498.6371121 0.1228254 FS
5 -0.33616805D+04 199.4045782 0.0559955 FS
6 -0.32747701D+04 86.9103145 0.0258532 FS
7 -0.32413254D+04 33.4447345 0.0102128 FS
8 -0.32297336D+04 11.5918068 0.0035763 FS
9 -0.32247672D+04 4.9664195 0.0015377 FS
10 -0.32228810D+04 1.8862343 0.0005849 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.54369235D+04 0.0000000 0.0000000 EM
2 -0.42597830D+04 1177.1404977 0.2165086 EM
3 -0.38739644D+04 385.8185479 0.0905723 FS
4 -0.34354194D+04 438.5450102 0.1132032 FS
5 -0.33503237D+04 85.0957209 0.0247701 EM
6 -0.33301639D+04 20.1597858 0.0060173 EM
7 -0.33160136D+04 14.1503534 0.0042491 EM
8 -0.33051970D+04 10.8166072 0.0032619 EM
9 -0.32969607D+04 8.2362490 0.0024919 EM
10 -0.32903629D+04 6.5977787 0.0020012 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.53657316D+04 0.0000000 0.0000000 EM
2 -0.45625072D+04 803.2243959 0.1496952 FS
3 -0.41668270D+04 395.6801608 0.0867243 EM
4 -0.39101724D+04 256.6546085 0.0615947 EM
5 -0.37088764D+04 201.2960282 0.0514801 EM
6 -0.36240773D+04 84.7990963 0.0228638 EM
7 -0.35484745D+04 75.6027867 0.0208613 EM
8 -0.34945554D+04 53.9191246 0.0151950 EM
9 -0.34518804D+04 42.6749780 0.0122118 EM
10 -0.34232574D+04 28.6230299 0.0082920 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.75009878D+04 0.0000000 0.0000000 EM
2 -0.45622240D+04 2938.7638167 0.3917836 EM
3 -0.38785346D+04 683.6893278 0.1498588 EM
4 -0.37049296D+04 173.6050806 0.0447605 EM
5 -0.36404488D+04 64.4808061 0.0174041 EM
6 -0.36325824D+04 7.8663479 0.0021608 EM
7 -0.36171054D+04 15.4769884 0.0042606 EM
8 -0.36026991D+04 14.4062868 0.0039828 EM
9 -0.35866639D+04 16.0352836 0.0044509 EM
10 -0.35753780D+04 11.2858640 0.0031466 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.58495990D+04 0.0000000 0.0000000 EM
2 -0.40120259D+04 1837.5730928 0.3141366 EM
3 -0.37596564D+04 252.3695474 0.0629033 EM
4 -0.37178447D+04 41.8116507 0.0111211 EM
5 -0.37560050D+04 -38.1603038 -0.0102641 EM
6 -0.38120523D+04 -56.0473206 -0.0149221 EM
7 -0.38251673D+04 -13.1149344 -0.0034404 EM
8 -0.38361945D+04 -11.0272102 -0.0028828 EM
9 -0.38432919D+04 -7.0973878 -0.0018501 EM
10 -0.38471606D+04 -3.8687104 -0.0010066 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.61746966D+04 0.0000000 0.0000000 EM
2 -0.54914504D+04 683.2462039 0.1106526 FS
3 -0.50092142D+04 482.2362197 0.0878158 FS
4 -0.45308742D+04 478.3399641 0.0954920 FS
5 -0.40726539D+04 458.2203292 0.1011329 FS
6 -0.37537105D+04 318.9433809 0.0783134 FS
7 -0.35253867D+04 228.3238744 0.0608262 FS
8 -0.33845119D+04 140.8747940 0.0399601 FS
9 -0.33025990D+04 81.9128347 0.0242023 FS
10 -0.32526433D+04 49.9556958 0.0151262 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.57615808D+04 0.0000000 0.0000000 EM
2 -0.52131141D+04 548.4667004 0.0951938 FS
3 -0.48671535D+04 345.9605989 0.0663635 FS
4 -0.47561301D+04 111.0234143 0.0228107 FS
5 -0.47182900D+04 37.8401237 0.0079561 FS
6 -0.43891708D+04 329.1191762 0.0697539 EM
7 -0.42533089D+04 135.8618603 0.0309539 EM
8 -0.41382068D+04 115.1021448 0.0270618 EM
9 -0.40425945D+04 95.6123069 0.0231048 EM
10 -0.39636778D+04 78.9166829 0.0195213 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.50985901D+04 0.0000000 0.0000000 EM
2 -0.43313134D+04 767.2766467 0.1504880 FS
3 -0.40210132D+04 310.3002186 0.0716411 EM
4 -0.39057979D+04 115.2153409 0.0286533 EM
5 -0.38318522D+04 73.9457291 0.0189323 EM
6 -0.37995734D+04 32.2788030 0.0084238 EM
7 -0.37676692D+04 31.9041121 0.0083968 EM
8 -0.37364419D+04 31.2273898 0.0082883 EM
9 -0.37061258D+04 30.3160193 0.0081136 EM
10 -0.36768839D+04 29.2419112 0.0078902 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.45493155D+04 0.0000000 0.0000000 EM
2 -0.40940957D+04 455.2198229 0.1000634 FS
3 -0.36700573D+04 424.0383692 0.1035731 FS
4 -0.34649502D+04 205.1071307 0.0558866 FS
5 -0.33256570D+04 139.2932494 0.0402006 FS
6 -0.32656740D+04 59.9829098 0.0180364 FS
7 -0.32313441D+04 34.3299589 0.0105124 FS
8 -0.32248846D+04 6.4595310 0.0019990 FS
9 -0.32228619D+04 2.0226388 0.0006272 FS
10 -0.32221138D+04 0.7481256 0.0002321 FS
11 -0.32217931D+04 0.3207156 0.0000995 FS
12 -0.32211399D+04 0.6532273 0.0002028 FS
13 -0.32209365D+04 0.2033492 0.0000631 EM
14 -0.32208168D+04 0.1197090 0.0000372 EM
15 -0.32207296D+04 0.0872327 0.0000271 EM
16 -0.32206558D+04 0.0737295 0.0000229 EM
17 -0.32205884D+04 0.0674167 0.0000209 EM
18 -0.32205245D+04 0.0638817 0.0000198 EM
19 -0.32204631D+04 0.0614448 0.0000191 EM
20 -0.32204036D+04 0.0594551 0.0000185 EM
21 -0.32203460D+04 0.0576516 0.0000179 EM
22 -0.32202901D+04 0.0559252 0.0000174 EM
23 -0.32202358D+04 0.0542266 0.0000168 EM
24 -0.32201833D+04 0.0525333 0.0000163 EM
25 -0.32201325D+04 0.0508350 0.0000158 EM
26 -0.32200833D+04 0.0491273 0.0000153 EM
27 -0.32200359D+04 0.0474101 0.0000147 EM
28 -0.32199902D+04 0.0456857 0.0000142 EM
29 -0.32199463D+04 0.0439592 0.0000137 EM
30 -0.32199040D+04 0.0422363 0.0000131 EM
31 -0.32198635D+04 0.0405229 0.0000126 EM
32 -0.32198247D+04 0.0388280 0.0000121 EM
33 -0.32197875D+04 0.0371583 0.0000115 EM
34 -0.32197520D+04 0.0355217 0.0000110 EM
35 -0.32197181D+04 0.0339253 0.0000105 EM
36 -0.32196857D+04 0.0323762 0.0000101 EM
37 -0.32196548D+04 0.0308805 0.0000096 EM
38 -0.32196254D+04 0.0294426 0.0000091 EM
39 -0.32195973D+04 0.0280672 0.0000087 EM
40 -0.32195706D+04 0.0267580 0.0000083 EM
41 -0.32195450D+04 0.0255167 0.0000079 EM
42 -0.32195207D+04 0.0243451 0.0000076 EM
43 -0.32194975D+04 0.0232436 0.0000072 EM
44 -0.32194752D+04 0.0222118 0.0000069 EM
45 -0.32194540D+04 0.0212486 0.0000066 EM
46 -0.32194336D+04 0.0203526 0.0000063 EM
47 -0.32194141D+04 0.0195212 0.0000061 EM
48 -0.32193954D+04 0.0187517 0.0000058 EM
49 -0.32193773D+04 0.0180420 0.0000056 EM
50 -0.32193599D+04 0.0173876 0.0000054 EM
51 -0.32193432D+04 0.0167859 0.0000052 EM
52 -0.32193269D+04 0.0162334 0.0000050 EM
53 -0.32193112D+04 0.0157266 0.0000049 EM
54 -0.32192959D+04 0.0152619 0.0000047 EM
55 -0.32182745D+04 1.0214078 0.0003173 FS
56 -0.32179850D+04 0.2895463 0.0000900 FS
57 -0.32179521D+04 0.0328343 0.0000102 FS
58 -0.32179381D+04 0.0140834 0.0000044 FS
59 -0.32179351D+04 0.0029608 0.0000009 FS
60 -0.32179319D+04 0.0032371 0.0000010 FS
61 -0.32179318D+04 0.0001116 0.0000000 FS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.49160430D+04 0.0000000 0.0000000 EM
2 -0.43890296D+04 527.0134167 0.1072028 FS
3 -0.40597222D+04 329.3074421 0.0750297 FS
4 -0.35610850D+04 498.6371121 0.1228254 FS
5 -0.33616805D+04 199.4045782 0.0559955 FS
6 -0.32747701D+04 86.9103145 0.0258532 FS
7 -0.32413254D+04 33.4447345 0.0102128 FS
8 -0.32297336D+04 11.5918068 0.0035763 FS
9 -0.32247672D+04 4.9664195 0.0015377 FS
10 -0.32228810D+04 1.8862343 0.0005849 EM
11 -0.32223163D+04 0.5646023 0.0001752 EM
12 -0.32220917D+04 0.2246564 0.0000697 EM
13 -0.32219740D+04 0.1176744 0.0000365 EM
14 -0.32218893D+04 0.0847418 0.0000263 EM
15 -0.32218119D+04 0.0774154 0.0000240 EM
16 -0.32217356D+04 0.0762510 0.0000237 EM
17 -0.32216632D+04 0.0723796 0.0000225 EM
18 -0.32215994D+04 0.0638710 0.0000198 EM
19 -0.32215459D+04 0.0534200 0.0000166 EM
20 -0.32215015D+04 0.0444467 0.0000138 EM
21 -0.32214627D+04 0.0387800 0.0000120 EM
22 -0.32214259D+04 0.0367624 0.0000114 EM
23 -0.32213879D+04 0.0380754 0.0000118 EM
24 -0.32213456D+04 0.0422488 0.0000131 EM
25 -0.32212969D+04 0.0487547 0.0000151 EM
26 -0.32212400D+04 0.0568533 0.0000176 EM
27 -0.32211746D+04 0.0654131 0.0000203 EM
28 -0.32211016D+04 0.0729647 0.0000227 EM
29 -0.32210236D+04 0.0780736 0.0000242 EM
30 -0.32209438D+04 0.0797799 0.0000248 EM
31 -0.32208660D+04 0.0778314 0.0000242 EM
32 -0.32207933D+04 0.0726972 0.0000226 EM
33 -0.32207279D+04 0.0654054 0.0000203 EM
34 -0.32206706D+04 0.0572098 0.0000178 EM
35 -0.32206214D+04 0.0492058 0.0000153 EM
36 -0.32205793D+04 0.0420939 0.0000131 EM
37 -0.32205432D+04 0.0361620 0.0000112 EM
38 -0.32205118D+04 0.0314050 0.0000098 EM
39 -0.32204841D+04 0.0276670 0.0000086 EM
40 -0.32204594D+04 0.0247445 0.0000077 EM
41 -0.32204369D+04 0.0224435 0.0000070 EM
42 -0.32204163D+04 0.0206024 0.0000064 EM
43 -0.32203972D+04 0.0190963 0.0000059 EM
44 -0.32203794D+04 0.0178330 0.0000055 EM
45 -0.32203626D+04 0.0167458 0.0000052 EM
46 -0.32203469D+04 0.0157878 0.0000049 EM
47 -0.32203319D+04 0.0149257 0.0000046 EM
48 -0.32203178D+04 0.0141363 0.0000044 EM
49 -0.32203044D+04 0.0134034 0.0000042 EM
50 -0.32202917D+04 0.0127161 0.0000039 EM
51 -0.32202796D+04 0.0120670 0.0000037 EM
52 -0.32202682D+04 0.0114512 0.0000036 EM
53 -0.32202573D+04 0.0108655 0.0000034 EM
54 -0.32202470D+04 0.0103124 0.0000032 EM
55 -0.32202372D+04 0.0097747 0.0000030 EM
56 -0.32202279D+04 0.0092664 0.0000029 EM
57 -0.32202192D+04 0.0087808 0.0000027 EM
58 -0.32202108D+04 0.0083164 0.0000026 EM
59 -0.32202030D+04 0.0078721 0.0000024 EM
60 -0.32201955D+04 0.0074470 0.0000023 EM
61 -0.32201885D+04 0.0070402 0.0000022 EM
62 -0.32201818D+04 0.0066510 0.0000021 EM
63 -0.32201756D+04 0.0062788 0.0000019 EM
64 -0.32201696D+04 0.0059231 0.0000018 EM
65 -0.32201640D+04 0.0055834 0.0000017 EM
66 -0.32201640D+04 0.0000426 0.0000000 QN
67 -0.32201587D+04 0.0052574 0.0000016 EM
68 -0.32201538D+04 0.0049485 0.0000015 EM
69 -0.32201491D+04 0.0046548 0.0000014 EM
70 -0.32201448D+04 0.0043755 0.0000014 EM
71 -0.32201407D+04 0.0041104 0.0000013 EM
72 -0.32201368D+04 0.0038590 0.0000012 EM
73 -0.32201332D+04 0.0036210 0.0000011 EM
74 -0.32201298D+04 0.0033960 0.0000011 EM
75 -0.32201266D+04 0.0031834 0.0000010 EM
76 -0.32201236D+04 0.0029829 0.0000009 EM
77 -0.32201208D+04 0.0027939 0.0000009 EM
78 -0.32201182D+04 0.0026161 0.0000008 EM
79 -0.32201158D+04 0.0024489 0.0000008 EM
80 -0.32201135D+04 0.0022918 0.0000007 EM
81 -0.32201113D+04 0.0021444 0.0000007 EM
82 -0.32201093D+04 0.0020061 0.0000006 EM
83 -0.32201074D+04 0.0018766 0.0000006 EM
84 -0.32201057D+04 0.0017552 0.0000005 EM
85 -0.32201040D+04 0.0016417 0.0000005 EM
86 -0.32201025D+04 0.0015354 0.0000005 EM
87 -0.32201011D+04 0.0014360 0.0000004 EM
88 -0.32200997D+04 0.0013432 0.0000004 EM
89 -0.32200985D+04 0.0012563 0.0000004 EM
90 -0.32200973D+04 0.0011752 0.0000004 EM
91 -0.32200962D+04 0.0010995 0.0000003 EM
92 -0.32200952D+04 0.0010287 0.0000003 EM
93 -0.32200942D+04 0.0009626 0.0000003 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.83114095D+04 0.0000000 0.0000000 EM
2 -0.42068744D+04 4104.5351481 0.4938434 EM
3 -0.40148346D+04 192.0397844 0.0456490 FS
4 -0.35843712D+04 430.4634013 0.1072182 FS
5 -0.34058561D+04 178.5150730 0.0498037 FS
6 -0.33372770D+04 68.5791355 0.0201357 FS
7 -0.32792460D+04 58.0309494 0.0173887 FS
8 -0.32532324D+04 26.0136725 0.0079328 FS
9 -0.32349821D+04 18.2502605 0.0056099 FS
10 -0.32260185D+04 8.9636278 0.0027708 FS
11 -0.32208639D+04 5.1545715 0.0015978 FS
12 -0.32157998D+04 5.0640668 0.0015723 FS
13 -0.32117998D+04 4.0000282 0.0012439 FS
14 -0.32114420D+04 0.3578120 0.0001114 FS
15 -0.32114381D+04 0.0038942 0.0000012 FS
16 -0.32114379D+04 0.0002525 0.0000001 FS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.35865893D+04 0.0000000 0.0000000 EM
2 -0.33544242D+04 232.1651055 0.0647314 EM
3 -0.32707761D+04 83.6480553 0.0249366 EM
4 -0.32427234D+04 28.0527319 0.0085768 EM
5 -0.32307822D+04 11.9411432 0.0036824 EM
6 -0.32285382D+04 2.2440081 0.0006946 EM
7 -0.32273982D+04 1.1400347 0.0003531 EM
8 -0.32266175D+04 0.7806673 0.0002419 EM
9 -0.32260135D+04 0.6040067 0.0001872 EM
10 -0.32255215D+04 0.4920273 0.0001525 EM
11 -0.32251106D+04 0.4108514 0.0001274 EM
12 -0.32247626D+04 0.3480560 0.0001079 EM
13 -0.32244647D+04 0.2978536 0.0000924 EM
14 -0.32242078D+04 0.2569365 0.0000797 EM
15 -0.32239846D+04 0.2231392 0.0000692 EM
16 -0.32237897D+04 0.1949300 0.0000605 EM
17 -0.32236185D+04 0.1711785 0.0000531 EM
18 -0.32234675D+04 0.1510284 0.0000469 EM
19 -0.32233337D+04 0.1338189 0.0000415 EM
20 -0.32232147D+04 0.1190325 0.0000369 EM
21 -0.32231084D+04 0.1062593 0.0000330 EM
22 -0.32230132D+04 0.0951706 0.0000295 EM
23 -0.32229277D+04 0.0855005 0.0000265 EM
24 -0.32228507D+04 0.0770320 0.0000239 EM
25 -0.32227811D+04 0.0695867 0.0000216 EM
26 -0.32227181D+04 0.0630169 0.0000196 EM
27 -0.32226609D+04 0.0571996 0.0000177 EM
28 -0.32226089D+04 0.0520321 0.0000161 EM
29 -0.32225614D+04 0.0474276 0.0000147 EM
30 -0.32225181D+04 0.0433128 0.0000134 EM
31 -0.32224785D+04 0.0396256 0.0000123 EM
32 -0.32224422D+04 0.0363129 0.0000113 EM
33 -0.32224088D+04 0.0333296 0.0000103 EM
34 -0.32223782D+04 0.0306363 0.0000095 EM
35 -0.32223500D+04 0.0281995 0.0000088 EM
36 -0.32223240D+04 0.0259904 0.0000081 EM
37 -0.32223000D+04 0.0239830 0.0000074 EM
38 -0.32222779D+04 0.0221560 0.0000069 EM
39 -0.32222574D+04 0.0204900 0.0000064 EM
40 -0.32222384D+04 0.0189681 0.0000059 EM
41 -0.32222208D+04 0.0175758 0.0000055 EM
42 -0.32222045D+04 0.0162999 0.0000051 EM
43 -0.32221894D+04 0.0151290 0.0000047 EM
44 -0.32221754D+04 0.0140530 0.0000044 EM
45 -0.32221623D+04 0.0130629 0.0000041 EM
46 -0.32221501D+04 0.0121507 0.0000038 EM
47 -0.32221388D+04 0.0113094 0.0000035 EM
48 -0.32221283D+04 0.0105341 0.0000033 EM
49 -0.32221185D+04 0.0098141 0.0000030 EM
50 -0.32221093D+04 0.0091497 0.0000028 EM
51 -0.32221008D+04 0.0085343 0.0000026 EM
52 -0.32220928D+04 0.0079639 0.0000025 EM
53 -0.32220854D+04 0.0074347 0.0000023 EM
54 -0.32220785D+04 0.0069434 0.0000022 EM
55 -0.32220720D+04 0.0064869 0.0000020 EM
56 -0.32220659D+04 0.0060626 0.0000019 EM
57 -0.32220602D+04 0.0056678 0.0000018 EM
58 -0.32220549D+04 0.0053003 0.0000016 EM
59 -0.32220500D+04 0.0049580 0.0000015 EM
60 -0.32220500D+04 0.0000083 0.0000000 QN
61 -0.32220453D+04 0.0046328 0.0000014 EM
62 -0.32220410D+04 0.0043428 0.0000013 EM
63 -0.32220369D+04 0.0040654 0.0000013 EM
64 -0.32220331D+04 0.0038066 0.0000012 EM
65 -0.32220296D+04 0.0035649 0.0000011 EM
66 -0.32220262D+04 0.0033392 0.0000010 EM
67 -0.32220231D+04 0.0031284 0.0000010 EM
68 -0.32220202D+04 0.0029314 0.0000009 EM
69 -0.32220174D+04 0.0027472 0.0000009 EM
70 -0.32220148D+04 0.0025749 0.0000008 EM
71 -0.32220124D+04 0.0024138 0.0000007 EM
72 -0.32220102D+04 0.0022630 0.0000007 EM
73 -0.32220081D+04 0.0021220 0.0000007 EM
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Beginning Time: 23:14:28
Ending Time: 23:15:40
Elapsed Time: 00:01:12
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