Mplus VERSION 7
MUTHEN & MUTHEN
09/22/2012  10:58 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a LCA with
  	continuous latent class indicators using
  	automatic starting values with random
  	starts
  DATA:	FILE IS ex7.9.dat;
  VARIABLE:	NAMES ARE y1-y4 c;
  	USEVARIABLES ARE y1-y4;
  	CLASSES = c (2);
  ANALYSIS:	TYPE = MIXTURE;
  OUTPUT:	TECH1 TECH8;



*** WARNING in MODEL command
  All variables are uncorrelated with all other variables within class.
  Check that this is what is intended.
   1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS



this is an example of a LCA with
continuous latent class indicators using
automatic starting values with random
starts

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

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
   Y1          Y2          Y3          Y4

Categorical latent variables
   C


Estimator                                                      MLR
Information matrix                                        OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
  Maximum number of iterations                                 100
  Convergence criterion                                  0.100D-05
Optimization Specifications for the EM Algorithm
  Maximum number of iterations                                 500
  Convergence criteria
    Loglikelihood change                                 0.100D-06
    Relative loglikelihood change                        0.100D-06
    Derivative                                           0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
  Number of M step iterations                                    1
  M step convergence criterion                           0.100D-05
  Basis for M step termination                           ITERATION
  Maximum value for logit thresholds                            15
  Minimum value for logit thresholds                           -15
  Minimum expected cell size for chi-square              0.100D-01
Optimization algorithm                                         EMA
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

Input data file(s)
  ex7.9.dat
Input data format  FREE


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:

           -3177.162  195873           6
           -3177.162  573096           20
           -3177.162  107446           12
           -3177.162  399671           13



THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED.  RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                       13

Loglikelihood

          H0 Value                       -3177.162
          H0 Scaling Correction Factor      0.9709
            for MLR

Information Criteria

          Akaike (AIC)                    6380.324
          Bayesian (BIC)                  6435.114
          Sample-Size Adjusted BIC        6393.851
            (n* = (n + 2) / 24)



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

    Latent
   Classes

       1        239.38233          0.47876
       2        260.61767          0.52124


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

    Latent
   Classes

       1        239.38234          0.47876
       2        260.61766          0.52124


CLASSIFICATION QUALITY

     Entropy                         0.909


CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              238          0.47600
       2              262          0.52400


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

           1        2

    1   0.977    0.023
    2   0.026    0.974


MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Latent Class 1

 Means
    Y1                -1.056      0.070    -15.030      0.000
    Y2                -1.088      0.067    -16.255      0.000
    Y3                -0.943      0.063    -15.050      0.000
    Y4                -1.093      0.074    -14.688      0.000

 Variances
    Y1                 1.134      0.073     15.610      0.000
    Y2                 0.975      0.063     15.582      0.000
    Y3                 0.992      0.064     15.483      0.000
    Y4                 1.007      0.064     15.683      0.000

Latent Class 2

 Means
    Y1                 1.037      0.070     14.762      0.000
    Y2                 1.004      0.064     15.682      0.000
    Y3                 0.865      0.068     12.763      0.000
    Y4                 0.980      0.060     16.321      0.000

 Variances
    Y1                 1.134      0.073     15.610      0.000
    Y2                 0.975      0.063     15.582      0.000
    Y3                 0.992      0.064     15.483      0.000
    Y4                 1.007      0.064     15.683      0.000

Categorical Latent Variables

 Means
    C#1               -0.085      0.096     -0.889      0.374


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.328E+00
       (ratio of smallest to largest eigenvalue)


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  1             2             3             4


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1                  9            10            11            12


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1                 5
 Y2                 0             6
 Y3                 0             0             7
 Y4                 0             0             0             8


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1                 13             0


     STARTING VALUES FOR LATENT CLASS 1


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1             -1.459        -1.436        -1.347        -1.456


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.116
 Y2             0.000         1.035
 Y3             0.000         0.000         0.906
 Y4             0.000         0.000         0.000         1.042


     STARTING VALUES FOR LATENT CLASS 2


           NU
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 1              1.529         1.441         1.345         1.431


           THETA
              Y1            Y2            Y3            Y4
              ________      ________      ________      ________
 Y1             1.116
 Y2             0.000         1.035
 Y3             0.000         0.000         0.906
 Y4             0.000         0.000         0.000         1.042


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
 1              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 -0.33534057D+04    0.0000000    0.0000000    243.686   256.314    EM
     2 -0.31775827D+04  175.8230642    0.0524312    241.219   258.781    EM
     3 -0.31772184D+04    0.3642587    0.0001146    240.168   259.832    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.57269188D+04    0.0000000    0.0000000    207.126   292.874    EM
     2 -0.31989890D+04 2527.9298711    0.4414119    225.156   274.844    EM
     3 -0.31802877D+04   18.7012862    0.0058460    233.359   266.641    EM
     4 -0.31777107D+04    2.5769272    0.0008103    236.814   263.186    EM
     5 -0.31772640D+04    0.4467748    0.0001406    238.282   261.718    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.87575572D+04    0.0000000    0.0000000      7.476   492.524    EM
     2 -0.35415770D+04 5215.9801666    0.5955976     12.490   487.510    EM
     3 -0.35286345D+04   12.9425000    0.0036544     25.781   474.219    EM
     4 -0.35057244D+04   22.9101085    0.0064926     51.877   448.123    EM
     5 -0.34614679D+04   44.2565126    0.0126241     94.599   405.401    EM
     6 -0.33834940D+04   77.9738894    0.0225262    148.829   351.171    EM
     7 -0.32780355D+04  105.4585613    0.0311685    195.826   304.174    EM
     8 -0.32023921D+04   75.6434049    0.0230758    221.382   278.618    EM
     9 -0.31813825D+04   21.0096086    0.0065606    231.978   268.022    EM
    10 -0.31779246D+04    3.4578138    0.0010869    236.269   263.731    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.79098718D+04    0.0000000    0.0000000    139.608   360.392    EM
     2 -0.34129601D+04 4496.9117547    0.5685189    174.930   325.070    EM
     3 -0.32539009D+04  159.0591412    0.0466045    210.571   289.429    EM
     4 -0.31892977D+04   64.6031986    0.0198541    228.023   271.977    EM
     5 -0.31788374D+04   10.4602966    0.0032798    234.800   265.200    EM
     6 -0.31774519D+04    1.3855061    0.0004359    237.475   262.525    EM
     7 -0.31772154D+04    0.2365243    0.0000744    238.576   261.424    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.73570018D+04    0.0000000    0.0000000    465.320    34.680    EM
     2 -0.35632367D+04 3793.7651448    0.5156673    473.717    26.283    EM
     3 -0.35373283D+04   25.9084234    0.0072710    462.972    37.028    EM
     4 -0.35049104D+04   32.4179085    0.0091645    434.507    65.493    EM
     5 -0.34589279D+04   45.9824180    0.0131194    391.615   108.385    EM
     6 -0.33900128D+04   68.9151827    0.0199239    338.398   161.602    EM
     7 -0.32950493D+04   94.9634917    0.0280127    288.757   211.243    EM
     8 -0.32117494D+04   83.2998465    0.0252803    259.196   240.804    EM
     9 -0.31825082D+04   29.2412585    0.0091045    247.112   252.888    EM
    10 -0.31779698D+04    4.5383896    0.0014260    242.491   257.509    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.61170633D+04    0.0000000    0.0000000     95.900   404.100    EM
     2 -0.34233827D+04 2693.6805604    0.4403552    140.824   359.176    EM
     3 -0.32997095D+04  123.6732397    0.0361260    189.752   310.248    EM
     4 -0.32105071D+04   89.2023806    0.0270334    218.589   281.411    EM
     5 -0.31827898D+04   27.7173123    0.0086333    230.900   269.100    EM
     6 -0.31781442D+04    4.6455915    0.0014596    235.843   264.157    EM
     7 -0.31773453D+04    0.7989179    0.0002514    237.882   262.118    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10914603D+05    0.0000000    0.0000000    215.056   284.944    EM
     2 -0.31956865D+04 7718.9169268    0.7072100    229.653   270.347    EM
     3 -0.31790504D+04   16.6361315    0.0052058    235.702   264.298    EM
     4 -0.31773614D+04    1.6889723    0.0005313    237.914   262.086    EM
     5 -0.31771930D+04    0.1684180    0.0000530    238.774   261.226    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11391163D+05    0.0000000    0.0000000    299.647   200.353    EM
     2 -0.32434968D+04 8147.6667299    0.7152620    264.155   235.845    EM
     3 -0.31868094D+04   56.6874137    0.0174773    248.236   251.764    EM
     4 -0.31781614D+04    8.6479184    0.0027137    242.713   257.287    EM
     5 -0.31773051D+04    0.8563329    0.0002694    240.708   259.292    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.73309175D+04    0.0000000    0.0000000    448.285    51.715    EM
     2 -0.34840143D+04 3846.9031572    0.5247506    416.212    83.788    EM
     3 -0.34303955D+04   53.6188164    0.0153900    369.183   130.817    EM
     4 -0.33513015D+04   79.0940370    0.0230568    315.728   184.272    EM
     5 -0.32548764D+04   96.4250281    0.0287724    273.479   226.521    EM
     6 -0.31937067D+04   61.1697509    0.0187933    252.644   247.356    EM
     7 -0.31795276D+04   14.1791288    0.0044397    244.619   255.381    EM
     8 -0.31775388D+04    1.9888072    0.0006255    241.514   258.486    EM
     9 -0.31772268D+04    0.3119259    0.0000982    240.268   259.732    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.11639620D+05    0.0000000    0.0000000    277.727   222.273    EM
     2 -0.32111989D+04 8428.4212336    0.7241148    254.038   245.962    EM
     3 -0.31805649D+04   30.6339227    0.0095397    244.879   255.121    EM
     4 -0.31775749D+04    2.9900103    0.0009401    241.578   258.422    EM
     5 -0.31772302D+04    0.3447041    0.0001085    240.290   259.710    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.60399699D+04    0.0000000    0.0000000    499.253     0.747    EM
     2 -0.35499952D+04 2489.9747739    0.4122495    498.600     1.400    EM
     3 -0.35479100D+04    2.0851690    0.0005874    496.136     3.864    EM
     4 -0.35430977D+04    4.8122792    0.0013564    490.326     9.674    EM
     5 -0.35341509D+04    8.9468712    0.0025252    479.384    20.616    EM
     6 -0.35190100D+04   15.1408053    0.0042841    460.594    39.406    EM
     7 -0.34935053D+04   25.5047150    0.0072477    430.495    69.505    EM
     8 -0.34507503D+04   42.7550193    0.0122384    387.094   112.906    EM
     9 -0.33820222D+04   68.7280778    0.0199169    334.172   165.828    EM
    10 -0.32878520D+04   94.1702321    0.0278444    285.865   214.135    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.13198837D+05    0.0000000    0.0000000    269.839   230.161    EM
     2 -0.31992417D+04 9999.5957580    0.7576119    251.578   248.422    EM
     3 -0.31796650D+04   19.5766672    0.0061192    244.342   255.658    EM
     4 -0.31775356D+04    2.1293737    0.0006697    241.448   258.552    EM
     5 -0.31772264D+04    0.3092890    0.0000973    240.253   259.747    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.79903792D+04    0.0000000    0.0000000    277.192   222.808    EM
     2 -0.32087785D+04 4781.6006518    0.5984197    252.605   247.395    EM
     3 -0.31799861D+04   28.7924964    0.0089730    243.911   256.089    EM
     4 -0.31774193D+04    2.5667941    0.0008072    241.077   258.923    EM
     5 -0.31771988D+04    0.2204976    0.0000694    240.057   259.943    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.94794343D+04    0.0000000    0.0000000    354.763   145.237    EM
     2 -0.35766716D+04 5902.7626202    0.6226914    363.241   136.759    EM
     3 -0.35053622D+04   71.3094880    0.0199374    345.207   154.793    EM
     4 -0.33825225D+04  122.8396983    0.0350434    303.605   196.395    EM
     5 -0.32469831D+04  135.5393121    0.0400705    267.115   232.885    EM
     6 -0.31882526D+04   58.7305055    0.0180877    249.960   250.040    EM
     7 -0.31786278D+04    9.6248093    0.0030188    243.529   256.471    EM
     8 -0.31773950D+04    1.2328658    0.0003879    241.066   258.934    EM
     9 -0.31772022D+04    0.1927899    0.0000607    240.082   259.918    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.14003737D+05    0.0000000    0.0000000    338.725   161.275    EM
     2 -0.33284339D+04 ************    0.7623182    290.602   209.398    EM
     3 -0.32176466D+04  110.7872404    0.0332851    259.605   240.395    EM
     4 -0.31827577D+04   34.8888909    0.0108430    246.946   253.054    EM
     5 -0.31778996D+04    4.8581162    0.0015264    242.334   257.666    EM
     6 -0.31772790D+04    0.6206371    0.0001953    240.579   259.421    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.95107711D+04    0.0000000    0.0000000    302.471   197.529    EM
     2 -0.32672390D+04 6243.5321070    0.6564696    271.833   228.167    EM
     3 -0.31977848D+04   69.4542078    0.0212578    252.640   247.360    EM
     4 -0.31798402D+04   17.9445908    0.0056116    244.769   255.231    EM
     5 -0.31775826D+04    2.2576119    0.0007100    241.609   258.391    EM
     6 -0.31772347D+04    0.3478451    0.0001095    240.315   259.685    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10014146D+05    0.0000000    0.0000000    303.478   196.522    EM
     2 -0.34031202D+04 6611.0255812    0.6601687    282.340   217.660    EM
     3 -0.32330627D+04  170.0575445    0.0499711    258.288   241.712    EM
     4 -0.31832946D+04   49.7680875    0.0153935    246.877   253.123    EM
     5 -0.31779593D+04    5.3352687    0.0016760    242.430   257.570    EM
     6 -0.31772956D+04    0.6637125    0.0002088    240.648   259.352    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.76105502D+04    0.0000000    0.0000000      1.079   498.921    EM
     2 -0.35466667D+04 4063.8834703    0.5339802      2.414   497.586    EM
     3 -0.35446978D+04    1.9689167    0.0005551      3.931   496.069    EM
     4 -0.35425433D+04    2.1544944    0.0006078      6.885   493.115    EM
     5 -0.35374039D+04    5.1394211    0.0014508     13.872   486.128    EM
     6 -0.35251702D+04   12.2337095    0.0034584     29.315   470.685    EM
     7 -0.34993117D+04   25.8584734    0.0073354     58.598   441.402    EM
     8 -0.34494910D+04   49.8207004    0.0142373    104.453   395.547    EM
     9 -0.33644279D+04   85.0630850    0.0246596    159.107   340.893    EM
    10 -0.32589558D+04  105.4720997    0.0313492    202.440   297.560    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.65175713D+04    0.0000000    0.0000000    337.289   162.711    EM
     2 -0.33214778D+04 3196.0935408    0.4903811    289.897   210.103    EM
     3 -0.32184767D+04  103.0010222    0.0310106    258.827   241.173    EM
     4 -0.31823630D+04   36.1137427    0.0112208    246.568   253.432    EM
     5 -0.31778221D+04    4.5409160    0.0014269    242.190   257.810    EM
     6 -0.31772683D+04    0.5537576    0.0001743    240.525   259.475    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.80890284D+04    0.0000000    0.0000000    419.609    80.391    EM
     2 -0.34643667D+04 4624.6617568    0.5717203    378.583   121.417    EM
     3 -0.33733487D+04   91.0180177    0.0262726    324.340   175.660    EM
     4 -0.32699078D+04  103.4408917    0.0306642    278.595   221.405    EM
     5 -0.31988241D+04   71.0837178    0.0217388    254.744   245.256    EM
     6 -0.31803185D+04   18.5055596    0.0057851    245.401   254.599    EM
     7 -0.31776529D+04    2.6655924    0.0008382    241.815   258.185    EM
     8 -0.31772453D+04    0.4075757    0.0001283    240.388   259.612    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE      CLASS COUNTS    ALGORITHM
     1 -0.10404347D+05    0.0000000    0.0000000    302.931   197.069    EM
     2 -0.33253939D+04 7078.9526536    0.6803842    271.085   228.915    EM
     3 -0.32013468D+04  124.0471338    0.0373030    251.111   248.889    EM
     4 -0.31793963D+04   21.9505218    0.0068567    243.637   256.363    EM
     5 -0.31774045D+04    1.9917687    0.0006265    241.015   258.985    EM
     6 -0.31771973D+04    0.2071979    0.0000652    240.038   259.962    EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


     5 -0.31771930D+04    0.1684180    0.0000530    238.774   261.226    EM
     6 -0.31771674D+04    0.0255368    0.0000080    239.126   260.874    EM
     7 -0.31771629D+04    0.0045183    0.0000014    239.273   260.727    EM
     8 -0.31771621D+04    0.0008212    0.0000003    239.336   260.664    EM
     9 -0.31771620D+04    0.0001496    0.0000000    239.363   260.637    EM
    10 -0.31771619D+04    0.0000273    0.0000000    239.374   260.626    EM
    11 -0.31771619D+04    0.0000050    0.0000000    239.379   260.621    EM
    12 -0.31771619D+04    0.0000009    0.0000000    239.381   260.619    EM
    13 -0.31771619D+04    0.0000002    0.0000000    239.382   260.618    EM
    14 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.382   260.618    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


     6 -0.31771973D+04    0.2071979    0.0000652    240.038   259.962    EM
     7 -0.31771679D+04    0.0294374    0.0000093    239.653   260.347    EM
     8 -0.31771630D+04    0.0049056    0.0000015    239.496   260.504    EM
     9 -0.31771621D+04    0.0008672    0.0000003    239.430   260.570    EM
    10 -0.31771620D+04    0.0001566    0.0000000    239.403   260.597    EM
    11 -0.31771619D+04    0.0000284    0.0000000    239.391   260.609    EM
    12 -0.31771619D+04    0.0000052    0.0000000    239.386   260.614    EM
    13 -0.31771619D+04    0.0000009    0.0000000    239.384   260.616    EM
    14 -0.31771619D+04    0.0000002    0.0000000    239.383   260.617    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM
    16 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


     5 -0.31771988D+04    0.2204976    0.0000694    240.057   259.943    EM
     6 -0.31771682D+04    0.0305725    0.0000096    239.660   260.340    EM
     7 -0.31771630D+04    0.0051482    0.0000016    239.499   260.501    EM
     8 -0.31771621D+04    0.0009154    0.0000003    239.432   260.568    EM
     9 -0.31771620D+04    0.0001656    0.0000001    239.403   260.597    EM
    10 -0.31771619D+04    0.0000301    0.0000000    239.391   260.609    EM
    11 -0.31771619D+04    0.0000055    0.0000000    239.386   260.614    EM
    12 -0.31771619D+04    0.0000010    0.0000000    239.384   260.616    EM
    13 -0.31771619D+04    0.0000002    0.0000000    239.383   260.617    EM
    14 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM
    15 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


     9 -0.31772022D+04    0.1927899    0.0000607    240.082   259.918    EM
    10 -0.31771691D+04    0.0330762    0.0000104    239.676   260.324    EM
    11 -0.31771632D+04    0.0058778    0.0000019    239.507   260.493    EM
    12 -0.31771622D+04    0.0010595    0.0000003    239.435   260.565    EM
    13 -0.31771620D+04    0.0001921    0.0000001    239.405   260.595    EM
    14 -0.31771619D+04    0.0000349    0.0000000    239.392   260.608    EM
    15 -0.31771619D+04    0.0000063    0.0000000    239.387   260.613    EM
    16 -0.31771619D+04    0.0000012    0.0000000    239.384   260.616    EM
    17 -0.31771619D+04    0.0000002    0.0000000    239.383   260.617    EM
    18 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM
    19 -0.31771619D+04    0.0000000    0.0000000    239.383   260.617    EM


     Beginning Time:  22:58:02
        Ending Time:  22:58:02
       Elapsed Time:  00:00:00



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