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riar_sim1000_fit4x4_a.htm
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<!DOCTYPE html>
<style>
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<body style="font-family:'Courier New'; font-size:14px;">
<p class="heading">
Mplus VERSION 8.8<br />
MUTHEN & MUTHEN<br />
04/22/2023 4:02 PM<br />
</p>
<p class='heading'>OUTPUT SECTIONS</p>
<ul>
<li><a href='#input'>Input Instructions</a></li>
<li><a href='#inputmessages'>Input Warnings And Errors</a></li>
<li><a href='#summary_analysis'>Summary Of Analysis</a></li>
<li><a href='#samplestats'>Sample Statistics For The First Replication</a></li>
<li><a href='#model_fit'>Model Fit Information</a></li>
<li><a href='#model_results'>Model Results</a></li>
<li><a href='#tech1_output'>Technical Output</a></li>
</ul>
<pre>
<a name='input' class='heading'>INPUT INSTRUCTIONS</a>
TITLE: Univariate model, 16 waves: RI-AR model
Simulate 1000 datasets with phi=0.4
Fit a 4X4 model
MONTECARLO:
NAMES ARE Y1-Y16;
NOBSERVATIONS = 1000;
NREPS = 1000;
SEED = 8233;
! SAVE = RIAR16W.dat;
MODEL POPULATION:
! Random intercept
RI BY Y1-Y16@1;
RI@1;
! Create person mean centered variables
wY1 BY Y1@1;
wY2 BY Y2@1;
wY3 BY Y3@1;
wY4 BY Y4@1;
wY5 BY Y5@1;
wY6 BY Y6@1;
wY7 BY Y7@1;
wY8 BY Y8@1;
wY9 BY Y9@1;
wY10 BY Y10@1;
wY11 BY Y11@1;
wY12 BY Y12@1;
wY13 BY Y13@1;
wY14 BY Y14@1;
wY15 BY Y15@1;
wY16 BY Y16@1;
! No measurement error variance
Y1-Y16@0;
! Grand mean of 0
[Y1-Y16@0];
! Autoregressions
wY2-wY16 PON wY1-wY15@0.4;
! Within-person variance
wY1@1;
! Within-person residual variance
wY2-wY16@0.84;
MODEL:
! Random intercept
RI1 BY Y1-Y4@1;
RI2 BY Y5-Y8@1;
RI3 BY Y9-Y12@1;
RI4 BY Y13-Y16@1;
! Create person mean centered variables
wY1 BY Y1;
wY2 BY Y2;
wY3 BY Y3;
wY4 BY Y4;
wY5 BY Y5;
wY6 BY Y6;
wY7 BY Y7;
wY8 BY Y8;
wY9 BY Y9;
wY10 BY Y10;
wY11 BY Y11;
wY12 BY Y12;
wY13 BY Y13;
wY14 BY Y14;
wY15 BY Y15;
wY16 BY Y16;
! No measurement error variance
Y1-Y16@0;
! Grand mean of 0
[Y1-Y16*0];
! Autoregressions
wY2-wY4 PON wY1-wY3*0.4;
wY6-wY8 PON wY5-wY7*0.4;
wY10-wY12 PON wY9-wY11*0.4;
wY14-wY16 PON wY13-wY15*0.4;
! Within-person variance
wY1*1;
wY5*1;
wY9*1;
wY13*1;
! Correlations of exogenous variables at zero
RI WITH wY1@0 wY5@0 wY9@0 wY13@0;
wY1 wY5 wY9 wY13 WITH wY5@0 wY9@0 wY13@0;
! Correlations between residuals of outcome variables at zero
wY4 wY8 wY12 wY16 WITH wY8@0 wY12@0 wY16@0;
RI BY RI1-RI4@1;
RI*1;
OUTPUT: TECH1 STDYX SAMPSTAT CINTERVAL;
<a name='inputmessages' class='heading'></a>
*** WARNING in OUTPUT command
STANDARDIZED option is not available for MONTECARLO.
Request for STANDARDIZED is ignored.
1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
Univariate model, 16 waves: RI-AR model
Simulate 1000 datasets with phi=0.4
Fit a 4X4 model
<a name='summary_analysis' class='heading'>SUMMARY OF ANALYSIS</a>
Number of groups 1
Number of observations 1000
Number of replications
Requested 1000
Completed 1000
Value of seed 8233
Number of dependent variables 16
Number of independent variables 0
Number of continuous latent variables 21
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4 Y5 Y6
Y7 Y8 Y9 Y10 Y11 Y12
Y13 Y14 Y15 Y16
Continuous latent variables
RI1 RI2 RI3 RI4 WY1 WY2
WY3 WY4 WY5 WY6 WY7 WY8
WY9 WY10 WY11 WY12 WY13 WY14
WY15 WY16 RI
Estimator ML
Information matrix OBSERVED
Maximum number of iterations 1000
Convergence criterion 0.500D-04
Maximum number of steepest descent iterations 20
<a name='samplestats' class='heading'>SAMPLE STATISTICS FOR THE FIRST REPLICATION</a>
SAMPLE STATISTICS
Means
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
0.033 0.020 0.009 -0.013 0.026
Means
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
-0.004 0.035 0.042 -0.013 -0.013
Means
Y11 Y12 Y13 Y14 Y15
________ ________ ________ ________ ________
0.024 0.026 0.027 0.004 0.010
Means
Y16
________
0.068
Covariances
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 2.091
Y2 1.500 2.063
Y3 1.197 1.418 2.060
Y4 1.131 1.149 1.404 1.962
Y5 1.120 1.124 1.206 1.409 2.003
Y6 1.090 1.108 1.105 1.119 1.397
Y7 1.049 1.048 1.049 1.049 1.246
Y8 0.978 0.936 0.960 0.901 1.068
Y9 0.978 0.939 0.932 0.895 1.032
Y10 1.037 1.011 0.950 0.923 0.981
Y11 1.041 0.971 0.996 0.958 0.966
Y12 1.131 1.074 1.050 0.986 1.049
Y13 1.038 1.019 0.961 0.938 0.946
Y14 1.048 1.035 0.947 0.937 1.008
Y15 1.072 1.073 1.014 1.017 1.069
Y16 1.078 1.067 1.063 1.008 1.068
Covariances
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
Y6 2.013
Y7 1.435 2.035
Y8 1.164 1.372 1.897
Y9 1.087 1.109 1.286 1.878
Y10 1.057 1.078 1.083 1.339 2.006
Y11 1.046 1.058 0.920 1.077 1.414
Y12 1.053 1.087 0.983 1.066 1.212
Y13 0.960 0.976 0.872 0.924 1.039
Y14 1.003 1.015 0.941 0.963 1.084
Y15 1.079 1.070 0.955 0.979 1.037
Y16 1.094 1.093 0.984 0.966 1.029
Covariances
Y11 Y12 Y13 Y14 Y15
________ ________ ________ ________ ________
Y11 2.110
Y12 1.456 2.064
Y13 1.097 1.354 1.948
Y14 1.108 1.182 1.336 1.948
Y15 1.049 1.092 1.171 1.410 2.014
Y16 1.068 1.097 1.098 1.216 1.460
Covariances
Y16
________
Y16 2.075
Correlations
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 1.000
Y2 0.722 1.000
Y3 0.577 0.688 1.000
Y4 0.558 0.571 0.698 1.000
Y5 0.547 0.553 0.594 0.711 1.000
Y6 0.531 0.544 0.543 0.563 0.696
Y7 0.508 0.511 0.512 0.525 0.617
Y8 0.491 0.473 0.486 0.467 0.548
Y9 0.494 0.477 0.474 0.466 0.532
Y10 0.506 0.497 0.467 0.465 0.489
Y11 0.495 0.466 0.478 0.471 0.470
Y12 0.544 0.520 0.509 0.490 0.516
Y13 0.514 0.509 0.480 0.480 0.479
Y14 0.519 0.516 0.473 0.479 0.510
Y15 0.522 0.527 0.498 0.512 0.532
Y16 0.518 0.516 0.514 0.499 0.524
Correlations
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
Y6 1.000
Y7 0.709 1.000
Y8 0.596 0.699 1.000
Y9 0.559 0.567 0.682 1.000
Y10 0.526 0.534 0.555 0.690 1.000
Y11 0.507 0.511 0.460 0.541 0.687
Y12 0.517 0.530 0.497 0.542 0.596
Y13 0.485 0.490 0.454 0.483 0.526
Y14 0.507 0.510 0.490 0.503 0.548
Y15 0.536 0.529 0.488 0.504 0.516
Y16 0.535 0.532 0.496 0.490 0.505
Correlations
Y11 Y12 Y13 Y14 Y15
________ ________ ________ ________ ________
Y11 1.000
Y12 0.698 1.000
Y13 0.541 0.676 1.000
Y14 0.546 0.589 0.686 1.000
Y15 0.509 0.536 0.591 0.712 1.000
Y16 0.510 0.530 0.546 0.605 0.714
Correlations
Y16
________
Y16 1.000
<a name='model_fit' class='heading'>MODEL FIT INFORMATION</a>
Number of Free Parameters 49
Loglikelihood
H0 Value
Mean -22659.369
Std Dev 89.550
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.990 -22867.689 -22870.368
0.980 0.985 -22843.277 -22831.242
0.950 0.950 -22806.669 -22807.016
0.900 0.888 -22774.136 -22780.227
0.800 0.791 -22734.734 -22735.914
0.700 0.700 -22706.329 -22707.659
0.500 0.502 -22659.369 -22659.198
0.300 0.301 -22612.409 -22612.401
0.200 0.205 -22584.003 -22582.184
0.100 0.107 -22544.601 -22541.160
0.050 0.049 -22512.068 -22512.763
0.020 0.014 -22475.460 -22491.370
0.010 0.008 -22451.048 -22462.670
H1 Value
Mean -22387.719
Std Dev 87.621
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.989 -22591.552 -22596.899
0.980 0.980 -22567.666 -22567.729
0.950 0.941 -22531.847 -22536.531
0.900 0.895 -22500.014 -22505.529
0.800 0.804 -22461.461 -22460.702
0.700 0.697 -22433.668 -22434.219
0.500 0.501 -22387.719 -22387.714
0.300 0.311 -22341.771 -22339.797
0.200 0.204 -22313.977 -22313.360
0.100 0.102 -22275.424 -22274.250
0.050 0.053 -22243.591 -22243.048
0.020 0.017 -22207.772 -22215.998
0.010 0.007 -22183.886 -22195.942
Information Criteria
Akaike (AIC)
Mean 45416.737
Std Dev 179.100
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.992 45000.097 45016.279
0.980 0.986 45048.920 45080.037
0.950 0.951 45122.136 45122.440
0.900 0.893 45187.203 45179.045
0.800 0.795 45266.007 45260.905
0.700 0.699 45322.817 45322.468
0.500 0.498 45416.737 45415.948
0.300 0.300 45510.657 45507.945
0.200 0.209 45567.468 45569.323
0.100 0.112 45646.272 45655.504
0.050 0.050 45711.339 45710.867
0.020 0.015 45784.555 45759.302
0.010 0.010 45833.377 45806.845
Bayesian (BIC)
Mean 45657.217
Std Dev 179.100
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.992 45240.577 45256.759
0.980 0.986 45289.400 45320.517
0.950 0.951 45362.616 45362.920
0.900 0.893 45427.683 45419.525
0.800 0.795 45506.487 45501.385
0.700 0.699 45563.297 45562.948
0.500 0.498 45657.217 45656.428
0.300 0.300 45751.137 45748.425
0.200 0.209 45807.948 45809.803
0.100 0.112 45886.752 45895.984
0.050 0.050 45951.819 45951.347
0.020 0.015 46025.035 45999.782
0.010 0.010 46073.857 46047.325
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 45501.590
Std Dev 179.100
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.992 45084.950 45101.133
0.980 0.986 45133.773 45164.890
0.950 0.951 45206.989 45207.293
0.900 0.893 45272.056 45263.898
0.800 0.795 45350.860 45345.758
0.700 0.699 45407.670 45407.321
0.500 0.498 45501.590 45500.802
0.300 0.300 45595.510 45592.798
0.200 0.209 45652.321 45654.176
0.100 0.112 45731.125 45740.358
0.050 0.050 45796.192 45795.720
0.020 0.015 45869.408 45844.155
0.010 0.010 45918.231 45891.699
Chi-Square Test of Model Fit
Degrees of freedom 103
Mean 543.299
Std Dev 45.290
Number of successful computations 1000
Proportions Percentiles
Expected Observed Expected Observed
0.990 1.000 72.575 447.660
0.980 1.000 75.709 455.563
0.950 1.000 80.582 470.924
0.900 1.000 85.088 484.650
0.800 1.000 90.767 504.006
0.700 1.000 95.018 518.756
0.500 1.000 102.334 540.737
0.300 1.000 110.017 567.330
0.200 1.000 114.845 581.391
0.100 1.000 121.769 602.193
0.050 1.000 127.689 618.319
0.020 1.000 134.575 641.735
0.010 1.000 139.297 647.132
RMSEA (Root Mean Square Error Of Approximation)
Mean 0.065
Std Dev 0.003
Number of successful computations 1000
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 1.000
0.900 1.000
0.800 1.000
0.700 1.000
0.500 1.000
0.300 1.000
0.200 1.000
0.100 1.000
0.050 0.000
0.020 0.000
0.010 0.000
CFI/TLI
CFI
Mean 0.962
Std Dev 0.004
Number of successful computations 1000
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 0.001
0.900 0.000
0.800 0.000
0.700 0.000
0.500 0.000
0.300 0.000
0.200 0.000
0.100 0.000
0.050 0.000
0.020 0.000
0.010 0.000
TLI
Mean 0.956
Std Dev 0.005
Number of successful computations 1000
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 0.117
0.900 0.000
0.800 0.000
0.700 0.000
0.500 0.000
0.300 0.000
0.200 0.000
0.100 0.000
0.050 0.000
0.020 0.000
0.010 0.000
SRMR (Standardized Root Mean Square Residual)
Mean 0.035
Std Dev 0.002
Number of successful computations 1000
Cumulative Distribution Function
Value Function Value
0.990 1.000
0.980 1.000
0.950 1.000
0.900 1.000
0.800 1.000
0.700 1.000
0.500 1.000
0.300 1.000
0.200 1.000
0.100 1.000
0.050 1.000
0.020 0.000
0.010 0.000
<a name='model_results' class='heading'>MODEL RESULTS</a>
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
RI1 BY
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
RI2 BY
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
RI3 BY
Y9 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y10 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y11 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y12 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
RI4 BY
Y13 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y14 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y15 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
Y16 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY1 BY
Y1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY2 BY
Y2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY3 BY
Y3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY4 BY
Y4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY5 BY
Y5 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY6 BY
Y6 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY7 BY
Y7 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY8 BY
Y8 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY9 BY
Y9 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY10 BY
Y10 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY11 BY
Y11 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY12 BY
Y12 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY13 BY
Y13 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY14 BY
Y14 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY15 BY
Y15 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY16 BY
Y16 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
RI BY
RI1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
RI2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
RI3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
RI4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
WY2 ON
WY1 0.400 0.4283 0.0399 0.0384 0.0024 0.862 1.000
WY3 ON
WY2 0.400 0.4105 0.0406 0.0394 0.0018 0.930 1.000
WY4 ON
WY3 0.400 0.3754 0.0411 0.0398 0.0023 0.895 1.000
WY6 ON
WY5 0.400 0.4362 0.0393 0.0391 0.0028 0.832 1.000
WY7 ON
WY6 0.400 0.4350 0.0378 0.0377 0.0027 0.832 1.000
WY8 ON
WY7 0.400 0.4051 0.0395 0.0380 0.0016 0.932 1.000
WY10 ON
WY9 0.400 0.4320 0.0397 0.0398 0.0026 0.869 1.000
WY11 ON
WY10 0.400 0.4391 0.0352 0.0377 0.0028 0.828 1.000
WY12 ON
WY11 0.400 0.4137 0.0378 0.0377 0.0016 0.933 1.000
WY14 ON
WY13 0.400 0.4020 0.0437 0.0427 0.0019 0.942 1.000
WY15 ON
WY14 0.400 0.4246 0.0401 0.0400 0.0022 0.890 1.000
WY16 ON
WY15 0.400 0.4308 0.0390 0.0381 0.0025 0.861 1.000
RI WITH
WY1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY5 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY9 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY13 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY1 WITH
WY5 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY9 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY13 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY5 WITH
WY9 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY13 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY9 WITH
WY13 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY4 WITH
WY8 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY12 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY16 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY8 WITH
WY12 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY16 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
WY12 WITH
WY16 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Intercepts
Y1 0.000 -0.0039 0.0459 0.0456 0.0021 0.951 0.049
Y2 0.000 -0.0037 0.0456 0.0455 0.0021 0.952 0.048
Y3 0.000 -0.0033 0.0462 0.0452 0.0021 0.945 0.055
Y4 0.000 -0.0031 0.0444 0.0444 0.0020 0.942 0.058
Y5 0.000 -0.0018 0.0450 0.0442 0.0020 0.947 0.053
Y6 0.000 -0.0037 0.0445 0.0448 0.0020 0.951 0.049
Y7 0.000 -0.0028 0.0438 0.0448 0.0019 0.952 0.048
Y8 0.000 -0.0041 0.0439 0.0440 0.0019 0.955 0.045
Y9 0.000 -0.0040 0.0447 0.0440 0.0020 0.953 0.047
Y10 0.000 -0.0027 0.0462 0.0447 0.0021 0.942 0.058
Y11 0.000 -0.0034 0.0454 0.0448 0.0021 0.948 0.052
Y12 0.000 -0.0026 0.0458 0.0442 0.0021 0.943 0.057
Y13 0.000 -0.0041 0.0459 0.0444 0.0021 0.938 0.062
Y14 0.000 -0.0036 0.0457 0.0451 0.0021 0.944 0.056
Y15 0.000 -0.0033 0.0460 0.0455 0.0021 0.941 0.059
Y16 0.000 -0.0016 0.0448 0.0456 0.0020 0.956 0.044
Variances
WY1 1.000 1.0553 0.0680 0.0663 0.0077 0.891 1.000
WY5 1.000 1.0196 0.0656 0.0652 0.0047 0.963 1.000
WY9 1.000 1.0009 0.0640 0.0646 0.0041 0.955 1.000
WY13 1.000 0.9514 0.0640 0.0628 0.0065 0.846 1.000
RI 1.000 1.0434 0.0499 0.0512 0.0044 0.884 1.000
Residual Variances
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
Y9 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y10 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y11 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y12 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y13 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y14 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y15 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Y16 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
RI1 0.050 -0.0182 0.0473 0.0474 0.0069 0.726 0.055
RI2 0.050 -0.1056 0.0477 0.0469 0.0265 0.056 0.625
RI3 0.050 -0.1064 0.0455 0.0469 0.0265 0.047 0.624
RI4 0.050 -0.0204 0.0472 0.0474 0.0072 0.706 0.047
WY2 0.050 0.8522 0.0404 0.0422 0.6452 0.000 1.000
WY3 0.050 0.8374 0.0422 0.0421 0.6218 0.000 1.000
WY4 0.050 0.8044 0.0412 0.0407 0.5708 0.000 1.000
WY6 0.050 0.8748 0.0424 0.0421 0.6822 0.000 1.000
WY7 0.050 0.8604 0.0422 0.0415 0.6585 0.000 1.000
WY8 0.050 0.8231 0.0409 0.0404 0.5993 0.000 1.000
WY10 0.050 0.8764 0.0424 0.0423 0.6848 0.000 1.000
WY11 0.050 0.8623 0.0405 0.0415 0.6614 0.000 1.000
WY12 0.050 0.8322 0.0404 0.0406 0.6135 0.000 1.000
WY14 0.050 0.8570 0.0434 0.0434 0.6531 0.000 1.000
WY15 0.050 0.8631 0.0418 0.0424 0.6629 0.000 1.000
WY16 0.050 0.8590 0.0419 0.0418 0.6562 0.000 1.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.138E-01
(ratio of smallest to largest eigenvalue)
<a name='tech1_output' class='heading'>TECHNICAL OUTPUT</a>
PARAMETER SPECIFICATION
NU
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
1 2 3 4 5
NU
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
6 7 8 9 10
NU
Y11 Y12 Y13 Y14 Y15
________ ________ ________ ________ ________
11 12 13 14 15
NU
Y16
________
16
LAMBDA
RI1 RI2 RI3 RI4 WY1
________ ________ ________ ________ ________
Y1 0 0 0 0 0
Y2 0 0 0 0 0
Y3 0 0 0 0 0
Y4 0 0 0 0 0
Y5 0 0 0 0 0
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
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
LAMBDA
WY2 WY3 WY4 WY5 WY6
________ ________ ________ ________ ________
Y1 0 0 0 0 0
Y2 0 0 0 0 0
Y3 0 0 0 0 0
Y4 0 0 0 0 0
Y5 0 0 0 0 0
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
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
LAMBDA
WY7 WY8 WY9 WY10 WY11
________ ________ ________ ________ ________
Y1 0 0 0 0 0
Y2 0 0 0 0 0
Y3 0 0 0 0 0
Y4 0 0 0 0 0
Y5 0 0 0 0 0
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
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
LAMBDA
WY12 WY13 WY14 WY15 WY16
________ ________ ________ ________ ________
Y1 0 0 0 0 0
Y2 0 0 0 0 0
Y3 0 0 0 0 0
Y4 0 0 0 0 0
Y5 0 0 0 0 0
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
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
LAMBDA
RI
________
Y1 0
Y2 0
Y3 0
Y4 0
Y5 0
Y6 0
Y7 0
Y8 0
Y9 0
Y10 0
Y11 0
Y12 0
Y13 0
Y14 0
Y15 0
Y16 0
THETA
Y1 Y2 Y3 Y4 Y5
________ ________ ________ ________ ________
Y1 0
Y2 0 0
Y3 0 0 0
Y4 0 0 0 0
Y5 0 0 0 0 0
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
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
THETA
Y6 Y7 Y8 Y9 Y10
________ ________ ________ ________ ________
Y6 0
Y7 0 0
Y8 0 0 0
Y9 0 0 0 0
Y10 0 0 0 0 0
Y11 0 0 0 0 0
Y12 0 0 0 0 0
Y13 0 0 0 0 0
Y14 0 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
THETA
Y11 Y12 Y13 Y14 Y15
________ ________ ________ ________ ________
Y11 0
Y12 0 0
Y13 0 0 0
Y14 0 0 0 0
Y15 0 0 0 0 0
Y16 0 0 0 0 0
THETA
Y16
________
Y16 0
ALPHA
RI1 RI2 RI3 RI4 WY1
________ ________ ________ ________ ________
0 0 0 0 0