<?xml version="1.0" encoding="ASCII"?>
<!DOCTYPE nm:output SYSTEM "output.dtd">
<nm:output
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://namespaces.oreilly.com/xmlnut/address output.xsd"
xmlns:nm="http://namespaces.oreilly.com/xmlnut/address"
>
<nm:start_datetime>2023-06-12T22:06:13.799</nm:start_datetime>
<nm:control_stream><![CDATA[
$PROBLEM wbc

$DATA wbc.csv IGNORE=@

$INPUT ID TIME EVID AMT DV CMT CLI V1I V2I RXROW

$SUBROUTINES ADVAN13 TOL=6 ATOL=12 SSTOL=6 SSATOL=12

$MODEL NCOMPARTMENTS=7
     COMP(CENTR, DEFDOSE) ; centr
     COMP(PERIPH) ; periph
     COMP(PROL) ; prol
     COMP(TR1) ; tr1
     COMP(TR2) ; tr2
     COMP(TR3) ; tr3
     COMP(CIRC) ; circ

$PK
  MU_1=THETA(1)
  MU_2=THETA(2)
  MU_3=THETA(3)
  CIRC0=DEXP(MU_1+ETA(1)) ; CIRC0 <- exp(log_CIRC0)
  MTT=DEXP(MU_2+ETA(2)) ; MTT <- exp(log_MTT)
  SLOPU=DEXP(MU_3+ETA(3)) ; SLOPU <- exp(log_SLOPU)
  GAMMA=DEXP(THETA(4)) ; GAMMA <- exp(log_GAMMA)
  A_0(3)=CIRC0 ; prol(0) = CIRC0
  A_0(4)=CIRC0 ; tr1(0) = CIRC0
  A_0(5)=CIRC0 ; tr2(0) = CIRC0
  A_0(6)=CIRC0 ; tr3(0) = CIRC0
  A_0(7)=CIRC0 ; circ(0) = CIRC0

$DES
  CL=CLI ; CL = CLI
  V1=V1I ; V1 = V1I
  V2=V2I ; V2 = V2I
  RXR1=204 ; Q = 204
  CONC=A(1)/V1 ; CONC = centr/V1
  NN=3 ; NN = 3
  KTR=(NN+1)/MTT ; KTR = (NN + 1)/MTT
  EDRUG=1-SLOPU*CONC ; EDRUG = 1 - SLOPU * CONC

  FDBK=(CIRC0/A(7))**GAMMA ; FDBK = (CIRC0/circ)^GAMMA
  CIRC=A(7) ; CIRC = circ
  DADT(1) = A(2)*RXR1/V2-A(1)*(CL/V1+RXR1/V1) ; d/dt(centr) = periph * Q/V2 - centr * (CL/V1 + Q/V1)
  DADT(2) = A(1)*RXR1/V1-A(2)*RXR1/V2 ; d/dt(periph) = centr * Q/V1 - periph * Q/V2
  DADT(3) = KTR*A(3)*EDRUG*FDBK-KTR*A(3) ; d/dt(prol) = KTR * prol * EDRUG * FDBK - KTR * prol
  DADT(4) = KTR*A(3)-KTR*A(4) ; d/dt(tr1) = KTR * prol - KTR * tr1
  DADT(5) = KTR*A(4)-KTR*A(5) ; d/dt(tr2) = KTR * tr1 - KTR * tr2
  DADT(6) = KTR*A(5)-KTR*A(6) ; d/dt(tr3) = KTR * tr2 - KTR * tr3
  DADT(7) = KTR*A(6)-KTR*A(7) ; d/dt(circ) = KTR * tr3 - KTR * circ

$ERROR
  IPRED = A(7)
  W=DSQRT((IPRED*THETA(5))**2) ; W1 ~ sqrt((rx_pred_f_ * prop.err)^2)
  IF (W .EQ. 0.0) W = 1
  Y     = IPRED + W*EPS(1)

$THETA (1.8317        ) ; 1 - log_CIRC0
       (8.3733        ) ; 2 - log_MTT
       (6.3774        ) ; 3 - log_SLOPU
       (-11.558       ) ; 4 - log_GAMMA
       (0,     0.46465) ; 5 - prop.err

$OMEGA 0.097905 ; eta.CIRC0
$OMEGA 3e-06 ; eta.MTT
$OMEGA 2e-05 ; eta.SLOPU

$SIGMA 1 FIX

$ESTIMATION METHOD=1 INTER MAXEVALS=100000 SIGDIG=3 SIGL=12 PRINT=1 NOABORT

$COVARIANCE

$TABLE ID ETAS(1:LAST) OBJI FIRSTONLY ONEHEADER NOPRINT
     FORMAT=s1PE17.9 NOAPPEND FILE=wbc.eta

$TABLE ID TIME IPRED PRED RXROW ONEHEADER NOPRINT
    FORMAT=s1PE17.9 NOAPPEND FILE=wbc.pred

]]></nm:control_stream>
<nm:nmtran><![CDATA[

 WARNINGS AND ERRORS (IF ANY) FOR PROBLEM    1

 (WARNING  2) NM-TRAN INFERS THAT THE DATA ARE POPULATION.
]]></nm:nmtran>
<nm:nonmem nm:version='7.4.3'>
<nm:license_information><![CDATA[
License Registered to: Novartis
Expiration Date:    14 JAN 2024
Current Date:       12 JUN 2023
Days until program expires : 217
]]></nm:license_information>
<nm:program_information><![CDATA[
1NONLINEAR MIXED EFFECTS MODEL PROGRAM (NONMEM) VERSION 7.4.3
 ORIGINALLY DEVELOPED BY STUART BEAL, LEWIS SHEINER, AND ALISON BOECKMANN
 CURRENT DEVELOPERS ARE ROBERT BAUER, ICON DEVELOPMENT SOLUTIONS,
 AND ALISON BOECKMANN. IMPLEMENTATION, EFFICIENCY, AND STANDARDIZATION
 PERFORMED BY NOUS INFOSYSTEMS.
]]></nm:program_information>
<nm:theta_lb>
<nm:val nm:name='1'>-1000000.00000000</nm:val>
<nm:val nm:name='2'>-1000000.00000000</nm:val>
<nm:val nm:name='3'>-1000000.00000000</nm:val>
<nm:val nm:name='4'>-1000000.00000000</nm:val>
<nm:val nm:name='5'>0.000000000000000E+000</nm:val>
</nm:theta_lb>
<nm:theta_in>
<nm:val nm:name='1'>1.83170000000000</nm:val>
<nm:val nm:name='2'>8.37330000000000</nm:val>
<nm:val nm:name='3'>6.37740000000000</nm:val>
<nm:val nm:name='4'>-11.5580000000000</nm:val>
<nm:val nm:name='5'>0.464650000000000</nm:val>
</nm:theta_in>
<nm:theta_ub>
<nm:val nm:name='1'>1000000.00000000</nm:val>
<nm:val nm:name='2'>1000000.00000000</nm:val>
<nm:val nm:name='3'>1000000.00000000</nm:val>
<nm:val nm:name='4'>1000000.00000000</nm:val>
<nm:val nm:name='5'>1000000.00000000</nm:val>
</nm:theta_ub>
<nm:problem nm:number='1' nm:subproblem='0' nm:superproblem1='0' nm:iteration1='0' nm:superproblem2='0' nm:iteration2='0'>
<nm:problem_title>wbc</nm:problem_title>
<nm:problem_information><![CDATA[

 PROBLEM NO.:         1
 wbc
0DATA CHECKOUT RUN:              NO
 DATA SET LOCATED ON UNIT NO.:    2
 THIS UNIT TO BE REWOUND:        NO
 NO. OF DATA RECS IN DATA SET:      228
 NO. OF DATA ITEMS IN DATA SET:  11
 ID DATA ITEM IS DATA ITEM NO.:   1
 DEP VARIABLE IS DATA ITEM NO.:   5
 MDV DATA ITEM IS DATA ITEM NO.: 11
0INDICES PASSED TO SUBROUTINE PRED:
   3   2   4   0   0   0   6   0   0   0   0
0LABELS FOR DATA ITEMS:
 ID TIME EVID AMT DV CMT CLI V1I V2I RXROW MDV
0(NONBLANK) LABELS FOR PRED-DEFINED ITEMS:
 IPRED
0FORMAT FOR DATA:
 (E3.0,E5.0,E2.0,E17.0,E5.0,E2.0,2E4.0,E5.0,E4.0,1F2.0)

 TOT. NO. OF OBS RECS:      176
 TOT. NO. OF INDIVIDUALS:       45
0LENGTH OF THETA:   5
0DEFAULT THETA BOUNDARY TEST OMITTED:    NO
0OMEGA HAS SIMPLE DIAGONAL FORM WITH DIMENSION:   3
0DEFAULT OMEGA BOUNDARY TEST OMITTED:    NO
0SIGMA HAS SIMPLE DIAGONAL FORM WITH DIMENSION:   1
0DEFAULT SIGMA BOUNDARY TEST OMITTED:    NO
0INITIAL ESTIMATE OF THETA:
 LOWER BOUND    INITIAL EST    UPPER BOUND
 -0.1000E+07     0.1832E+01     0.1000E+07
 -0.1000E+07     0.8373E+01     0.1000E+07
 -0.1000E+07     0.6377E+01     0.1000E+07
 -0.1000E+07    -0.1156E+02     0.1000E+07
  0.0000E+00     0.4647E+00     0.1000E+07
0INITIAL ESTIMATE OF OMEGA:
 0.9791E-01
 0.0000E+00   0.3000E-05
 0.0000E+00   0.0000E+00   0.2000E-04
0INITIAL ESTIMATE OF SIGMA:
 0.1000E+01
0SIGMA CONSTRAINED TO BE THIS INITIAL ESTIMATE
0COVARIANCE STEP OMITTED:        NO
 EIGENVLS. PRINTED:              NO
 SPECIAL COMPUTATION:            NO
 COMPRESSED FORMAT:              NO
 GRADIENT METHOD USED:     NOSLOW
 SIGDIGITS ETAHAT (SIGLO):                  -1
 SIGDIGITS GRADIENTS (SIGL):                -1
 EXCLUDE COV FOR FOCE (NOFCOV):              NO
 TURN OFF Cholesky Transposition of R Matrix (CHOLROFF): NO
 KNUTHSUMOFF:                                -1
 RESUME COV ANALYSIS (RESUME):               NO
 SIR SAMPLE SIZE (SIRSAMPLE):              -1
 NON-LINEARLY TRANSFORM THETAS DURING COV (THBND): 1
 PRECONDTIONING CYCLES (PRECOND):        0
 PRECONDTIONING TYPES (PRECONDS):        TOS
 FORCED PRECONDTIONING CYCLES (PFCOND):0
 PRECONDTIONING TYPE (PRETYPE):        0
 FORCED POS. DEFINITE SETTING: (FPOSDEF):0
0TABLES STEP OMITTED:    NO
 NO. OF TABLES:           2
 SEED NUMBER (SEED):    11456
 RANMETHOD:             3U
 MC SAMPLES (ESAMPLE):    300
 WRES SQUARE ROOT TYPE (WRESCHOL): EIGENVALUE
0-- TABLE   1 --
0RECORDS ONLY:    FIRSTONLY
04 COLUMNS APPENDED:    NO
 PRINTED:                NO
 HEADER:                YES
 FILE TO BE FORWARDED:   NO
 FORMAT:                s1PE17.9
 LFORMAT:
 RFORMAT:
 FIXED_EFFECT_ETAS:
0USER-CHOSEN ITEMS:
 ID ETA1 ETA2 ETA3 OBJI
0-- TABLE   2 --
0RECORDS ONLY:    ALL
04 COLUMNS APPENDED:    NO
 PRINTED:                NO
 HEADER:                YES
 FILE TO BE FORWARDED:   NO
 FORMAT:                s1PE17.9
 LFORMAT:
 RFORMAT:
 FIXED_EFFECT_ETAS:
0USER-CHOSEN ITEMS:
 ID TIME IPRED PRED RXROW
1DOUBLE PRECISION PREDPP VERSION 7.4.3

 GENERAL NONLINEAR KINETICS MODEL WITH STIFF/NONSTIFF EQUATIONS (LSODA, ADVAN13)
0MODEL SUBROUTINE USER-SUPPLIED - ID NO. 9999
0MAXIMUM NO. OF BASIC PK PARAMETERS:   4
0COMPARTMENT ATTRIBUTES
 COMPT. NO.   FUNCTION   INITIAL    ON/OFF      DOSE      DEFAULT    DEFAULT
                         STATUS     ALLOWED    ALLOWED    FOR DOSE   FOR OBS.
    1         CENTR        ON         YES        YES        YES        YES
    2         PERIPH       ON         YES        YES        NO         NO
    3         PROL         ON         YES        YES        NO         NO
    4         TR1          ON         YES        YES        NO         NO
    5         TR2          ON         YES        YES        NO         NO
    6         TR3          ON         YES        YES        NO         NO
    7         CIRC         ON         YES        YES        NO         NO
    8         OUTPUT       OFF        YES        NO         NO         NO
 INITIAL (BASE) TOLERANCE SETTINGS:
 NRD (RELATIVE) VALUE(S) OF TOLERANCE:   6
 ANRD (ABSOLUTE) VALUE(S) OF TOLERANCE:  12
1
 ADDITIONAL PK PARAMETERS - ASSIGNMENT OF ROWS IN GG
 COMPT. NO.                             INDICES
              SCALE      BIOAVAIL.   ZERO-ORDER  ZERO-ORDER  ABSORB
                         FRACTION    RATE        DURATION    LAG
    1            *           *           *           *           *
    2            *           *           *           *           *
    3            *           *           *           *           *
    4            *           *           *           *           *
    5            *           *           *           *           *
    6            *           *           *           *           *
    7            *           *           *           *           *
    8            *           -           -           -           -
             - PARAMETER IS NOT ALLOWED FOR THIS MODEL
             * PARAMETER IS NOT SUPPLIED BY PK SUBROUTINE;
               WILL DEFAULT TO ONE IF APPLICABLE
0DATA ITEM INDICES USED BY PRED ARE:
   EVENT ID DATA ITEM IS DATA ITEM NO.:      3
   TIME DATA ITEM IS DATA ITEM NO.:          2
   DOSE AMOUNT DATA ITEM IS DATA ITEM NO.:   4
   COMPT. NO. DATA ITEM IS DATA ITEM NO.:    6

0PK SUBROUTINE CALLED WITH EVERY EVENT RECORD.
 PK SUBROUTINE NOT CALLED AT NONEVENT (ADDITIONAL OR LAGGED) DOSE TIMES.
0PK SUBROUTINE INDICATES THAT COMPARTMENT AMOUNTS ARE INITIALIZED.
0ERROR SUBROUTINE CALLED WITH EVERY EVENT RECORD.
0ERROR SUBROUTINE INDICATES THAT DERIVATIVES OF COMPARTMENT AMOUNTS ARE USED.
0DES SUBROUTINE USES COMPACT STORAGE MODE.
]]></nm:problem_information>
<nm:problem_options
 nm:data_checkout_run='no' nm:data_unit='2' nm:data_rewind='no' nm:data_nrec='228' nm:data_nitems='11' nm:data_id='1'
 nm:data_l2='0' nm:data_dv='5' nm:data_mdv='11' nm:data_mrg='0' nm:data_raw='0' nm:data_rpt='0' nm:data_sub_array1='0'
 nm:data_sub_array2='0' nm:data_sub_array3='0' nm:data_pred_indices='3,2,4,0,0,0,6,0,0,0,0'
 nm:data_format='(e3.0,e5.0,e2.0,e17.0,e5.0,e2.0,2e4.0,e5.0,e4.0,1f2.0)' nm:data_nobs='176' nm:data_nind='45'
 nm:data_mdv100='0' nm:nthetat='5' nm:theta_bound_test_omitted='no' nm:omega_diagdim='3'
 nm:omega_bound_test_omitted='no' nm:sigma_diagdim='1' nm:sigma_bound_test_omitted='no' nm:cov_omitted='no'
 nm:cov_matrix='rsr' nm:cov_eigen_print='no' nm:cov_special='no' nm:cov_compressed='no'
 nm:cov_slow_gradient='noslow' nm:cov_siglocov='-1' nm:cov_siglcov='-1' nm:cov_tol='-1' nm:cov_atol='-1'
 nm:cov_nofcov='no' nm:cov_cholroff='no' nm:cov_knuthsumoff='-1' nm:cov_resume='no' nm:cov_sirsample='-1'
 nm:cov_thbnd='1' nm:cov_precond='0' nm:cov_preconds='tos' nm:cov_pfcond='0' nm:cov_pretype='0' nm:cov_fposdef='0'
 nm:tab_omitted='no' nm:tab_number='2' nm:tab_seed='11456' nm:tab_ranmethod='3u' nm:tab_esample='300'
 nm:tab_wres='eigenvalue' nm:tab_fixedetas_01='BLANK' nm:tab_fixedetas_02='BLANK' nm:pred_advan='13'
 nm:pred_evid='3' nm:pred_time='2' nm:pred_amt='4' nm:pred_cmt='6'
/>
<nm:estimation nm:number='1' nm:type='0'>
<nm:table_series>1</nm:table_series>
<nm:estimation_method>focei</nm:estimation_method>
<nm:estimation_title>First Order Conditional Estimation with Interaction</nm:estimation_title>
<nm:estimation_information><![CDATA[
 ESTIMATION STEP OMITTED:                 NO
 ANALYSIS TYPE:                           POPULATION
 NUMBER OF SADDLE POINT RESET ITERATIONS:      0
 GRADIENT METHOD USED:               NOSLOW
 CONDITIONAL ESTIMATES USED:              YES
 CENTERED ETA:                            NO
 EPS-ETA INTERACTION:                     YES
 LAPLACIAN OBJ. FUNC.:                    NO
 NO. OF FUNCT. EVALS. ALLOWED:            100000
 NO. OF SIG. FIGURES REQUIRED:            3
 INTERMEDIATE PRINTOUT:                   YES
 ESTIMATE OUTPUT TO MSF:                  NO
 ABORT WITH PRED EXIT CODE 1:             NO
 IND. OBJ. FUNC. VALUES SORTED:           NO
 NUMERICAL DERIVATIVE
       FILE REQUEST (NUMDER):               NONE
 MAP (ETAHAT) ESTIMATION METHOD (OPTMAP):   0
 ETA HESSIAN EVALUATION METHOD (ETADER):    0
 INITIAL ETA FOR MAP ESTIMATION (MCETA):    0
 SIGDIGITS FOR MAP ESTIMATION (SIGLO):      12
 GRADIENT SIGDIGITS OF
       FIXED EFFECTS PARAMETERS (SIGL):     12
 NOPRIOR SETTING (NOPRIOR):                 OFF
 NOCOV SETTING (NOCOV):                     OFF
 DERCONT SETTING (DERCONT):                 OFF
 FINAL ETA RE-EVALUATION (FNLETA):          ON
 EXCLUDE NON-INFLUENTIAL (NON-INFL.) ETAS
       IN SHRINKAGE (ETASTYPE):             NO
 NON-INFL. ETA CORRECTION (NONINFETA):      OFF
 RAW OUTPUT FILE (FILE): wbc.ext
 EXCLUDE TITLE (NOTITLE):                   NO
 EXCLUDE COLUMN LABELS (NOLABEL):           NO
 FORMAT FOR ADDITIONAL FILES (FORMAT):      S1PE12.5
 PARAMETER ORDER FOR OUTPUTS (ORDER):       TSOL
 WISHART PRIOR DF INTERPRETATION (WISHTYPE):0
 KNUTHSUMOFF:                               0
 INCLUDE LNTWOPI:                           NO
 INCLUDE CONSTANT TERM TO PRIOR (PRIORC):   NO
 INCLUDE CONSTANT TERM TO OMEGA (ETA) (OLNTWOPI):NO
 ADDITIONAL CONVERGENCE TEST (CTYPE=4)?:    NO
 EM OR BAYESIAN METHOD USED:                 NONE

]]></nm:estimation_information>
<nm:estimation_options
 nm:estim_omitted='no' nm:analysis_type='pop' nm:saddle_reset='0' nm:saddle_hess='0' nm:slow_gradient='noslow'
 nm:cond_estim='yes' nm:centered_eta='no' nm:epseta_interaction='yes' nm:laplace='no' nm:predflag='0'
 nm:maxfn='100000' nm:nsig='3' nm:msfo='no' nm:abort='no' nm:objsort='no' nm:numder='0' nm:optmap='0' nm:etader='0'
 nm:mceta='0' nm:siglo='12' nm:sigl='12' nm:noprior='0' nm:nocov='0' nm:dercont='0' nm:atol='0' nm:fnleta='1' nm:etastype='0'
 nm:noninfeta='0' nm:file='wbc.ext' nm:notitle='0' nm:nolabel='0' nm:format='s1pe12.5' nm:order='tsol' nm:wishtype='0'
 nm:knuthsumoff='0' nm:lntwopi='0' nm:priorc='0' nm:olntwopi='0' nm:ctype='0'
/>
<nm:monitor>
<nm:obj nm:iteration='0'>586.869021182273</nm:obj>
<nm:obj nm:iteration='1'>586.869020672728</nm:obj>
<nm:obj nm:iteration='2'>586.869020672728</nm:obj>
<nm:obj nm:iteration='3'>586.869020672728</nm:obj>
</nm:monitor>
<nm:termination_status>0</nm:termination_status>
<nm:termination_nfuncevals>83</nm:termination_nfuncevals>
<nm:termination_sigdigits>4.25134883224106</nm:termination_sigdigits>
<nm:termination_information><![CDATA[
0MINIMIZATION SUCCESSFUL
 HOWEVER, PROBLEMS OCCURRED WITH THE MINIMIZATION.
 REGARD THE RESULTS OF THE ESTIMATION STEP CAREFULLY, AND ACCEPT THEM ONLY
 AFTER CHECKING THAT THE COVARIANCE STEP PRODUCES REASONABLE OUTPUT.
 NO. OF FUNCTION EVALUATIONS USED:       83
 NO. OF SIG. DIGITS IN FINAL EST.:  4.3
]]></nm:termination_information>
<nm:termination_txtmsg>
<nm:val nm:name='1'>37</nm:val>
<nm:val nm:name='2'>38</nm:val>
<nm:val nm:name='3'>49</nm:val>
</nm:termination_txtmsg>
<nm:etabar>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>2.993411133343813E-005</nm:col>
<nm:col nm:cname='ETA2'>-3.561592447246561E-011</nm:col>
<nm:col nm:cname='ETA3'>-3.591318238774420E-011</nm:col>
</nm:row>
</nm:etabar>
<nm:etabarse>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>3.890135807613435E-002</nm:col>
<nm:col nm:cname='ETA2'>1.865978381903657E-008</nm:col>
<nm:col nm:cname='ETA3'>2.161074348714270E-008</nm:col>
</nm:row>
</nm:etabarse>
<nm:etabarn>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>45</nm:col>
<nm:col nm:cname='ETA2'>45</nm:col>
<nm:col nm:cname='ETA3'>45</nm:col>
</nm:row>
</nm:etabarn>
<nm:etabarpval>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>0.999386031847846</nm:col>
<nm:col nm:cname='ETA2'>0.998477067249903</nm:col>
<nm:col nm:cname='ETA3'>0.998674049065198</nm:col>
</nm:row>
</nm:etabarpval>
<nm:etashrinksd>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>15.6571051790883</nm:col>
<nm:col nm:cname='ETA2'>99.9926914342873</nm:col>
<nm:col nm:cname='ETA3'>99.9967217589355</nm:col>
</nm:row>
</nm:etashrinksd>
<nm:etashrinkvr>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='ETA1'>28.8627609322862</nm:col>
<nm:col nm:cname='ETA2'>99.9999994658487</nm:col>
<nm:col nm:cname='ETA3'>99.9999998925313</nm:col>
</nm:row>
</nm:etashrinkvr>
<nm:ebvshrinksd>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='EBV1'>16.5923009461946</nm:col>
<nm:col nm:cname='EBV2'>99.8023902454181</nm:col>
<nm:col nm:cname='EBV3'>99.9275429654935</nm:col>
</nm:row>
</nm:ebvshrinksd>
<nm:ebvshrinkvr>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='EBV1'>30.4315573854983</nm:col>
<nm:col nm:cname='EBV2'>99.9996095038489</nm:col>
<nm:col nm:cname='EBV3'>99.9999474997815</nm:col>
</nm:row>
</nm:ebvshrinkvr>
<nm:epsshrinksd>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='EPS1'>6.41747375068733</nm:col>
</nm:row>
</nm:epsshrinksd>
<nm:epsshrinkvr>
<nm:row nm:rname='SUBPOP1'>
<nm:col nm:cname='EPS1'>12.4231078079671</nm:col>
</nm:row>
</nm:epsshrinkvr>
<nm:estimation_elapsed_time>59.16</nm:estimation_elapsed_time>
<nm:covariance_information><![CDATA[
]]></nm:covariance_information>
<nm:covariance_status nm:error='0' nm:numnegeigenvalues='-1' nm:mineigenvalue='0.000000000000000E+000' nm:maxeigenvalue='0.000000000000000E+000' nm:rms='0.000000000000000E+000'/>
<nm:covariance_elapsed_time>66.61</nm:covariance_elapsed_time>
<nm:final_objective_function_text>MINIMUM VALUE OF OBJECTIVE FUNCTION</nm:final_objective_function_text>
<nm:final_objective_function>586.869020672728</nm:final_objective_function>
<nm:theta>
<nm:val nm:name='1'>1.83169895537931</nm:val>
<nm:val nm:name='2'>8.37329670479077</nm:val>
<nm:val nm:name='3'>6.37739634773425</nm:val>
<nm:val nm:name='4'>-11.5580115580000</nm:val>
<nm:val nm:name='5'>0.464650000001741</nm:val>
</nm:theta>
<nm:omega>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>9.790499999465337E-002</nm:col>
</nm:row>
<nm:row nm:rname='2'>
<nm:col nm:cname='1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='2'>2.999999999993723E-006</nm:col>
</nm:row>
<nm:row nm:rname='3'>
<nm:col nm:cname='1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='3'>1.999999999999438E-005</nm:col>
</nm:row>
</nm:omega>
<nm:sigma>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>1.00000000000000</nm:col>
</nm:row>
</nm:sigma>
<nm:omegac>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>0.312897746867333</nm:col>
</nm:row>
<nm:row nm:rname='2'>
<nm:col nm:cname='1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='2'>1.732050807567065E-003</nm:col>
</nm:row>
<nm:row nm:rname='3'>
<nm:col nm:cname='1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='3'>4.472135954998951E-003</nm:col>
</nm:row>
</nm:omegac>
<nm:sigmac>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>1.00000000000000</nm:col>
</nm:row>
</nm:sigmac>
<nm:thetase>
<nm:val nm:name='1'>5.829260970902032E-002</nm:val>
<nm:val nm:name='2'>4.739757317330535E-002</nm:val>
<nm:val nm:name='3'>0.176508009691286</nm:val>
<nm:val nm:name='4'>1.78347022438189</nm:val>
<nm:val nm:name='5'>1.377151358743493E-002</nm:val>
</nm:thetase>
<nm:omegase>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>3.125738249782076E-002</nm:col>
</nm:row>
<nm:row nm:rname='2'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
<nm:col nm:cname='2'>2.747104378047316E-006</nm:col>
</nm:row>
<nm:row nm:rname='3'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
<nm:col nm:cname='2'>10000000000.0000</nm:col>
<nm:col nm:cname='3'>2.050041780521405E-005</nm:col>
</nm:row>
</nm:omegase>
<nm:sigmase>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
</nm:row>
</nm:sigmase>
<nm:omegacse>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>4.994823837941179E-002</nm:col>
</nm:row>
<nm:row nm:rname='2'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
<nm:col nm:cname='2'>7.930207260796384E-004</nm:col>
</nm:row>
<nm:row nm:rname='3'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
<nm:col nm:cname='2'>10000000000.0000</nm:col>
<nm:col nm:cname='3'>2.292016388980606E-003</nm:col>
</nm:row>
</nm:omegacse>
<nm:sigmacse>
<nm:row nm:rname='1'>
<nm:col nm:cname='1'>10000000000.0000</nm:col>
</nm:row>
</nm:sigmacse>
<nm:covariance>
<nm:row nm:rname='THETA1'>
<nm:col nm:cname='THETA1'>3.398028346688170E-003</nm:col>
</nm:row>
<nm:row nm:rname='THETA2'>
<nm:col nm:cname='THETA1'>-1.717283997138869E-003</nm:col>
<nm:col nm:cname='THETA2'>2.246529942718835E-003</nm:col>
</nm:row>
<nm:row nm:rname='THETA3'>
<nm:col nm:cname='THETA1'>-1.429392515031947E-003</nm:col>
<nm:col nm:cname='THETA2'>5.451180760932711E-003</nm:col>
<nm:col nm:cname='THETA3'>3.115507748517914E-002</nm:col>
</nm:row>
<nm:row nm:rname='THETA4'>
<nm:col nm:cname='THETA1'>1.079324379542376E-002</nm:col>
<nm:col nm:cname='THETA2'>-3.331530742705553E-002</nm:col>
<nm:col nm:cname='THETA3'>-0.189149907411415</nm:col>
<nm:col nm:cname='THETA4'>3.18076604125678</nm:col>
</nm:row>
<nm:row nm:rname='THETA5'>
<nm:col nm:cname='THETA1'>8.445991259148677E-005</nm:col>
<nm:col nm:cname='THETA2'>-1.859928309379364E-004</nm:col>
<nm:col nm:cname='THETA3'>-1.100080341340015E-003</nm:col>
<nm:col nm:cname='THETA4'>2.416012739474784E-002</nm:col>
<nm:col nm:cname='THETA5'>1.896545864889049E-004</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,1)'>
<nm:col nm:cname='THETA1'>-1.032337625026040E-003</nm:col>
<nm:col nm:cname='THETA2'>1.253656462148194E-003</nm:col>
<nm:col nm:cname='THETA3'>1.080668648742532E-003</nm:col>
<nm:col nm:cname='THETA4'>5.994576804485528E-004</nm:col>
<nm:col nm:cname='THETA5'>3.393162180593261E-005</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>9.770239606150713E-004</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,2)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,2)'>
<nm:col nm:cname='THETA1'>5.971802095966727E-008</nm:col>
<nm:col nm:cname='THETA2'>-5.650514470047347E-008</nm:col>
<nm:col nm:cname='THETA3'>6.213917255342762E-009</nm:col>
<nm:col nm:cname='THETA4'>8.424256492219159E-007</nm:col>
<nm:col nm:cname='THETA5'>6.685264653741282E-009</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>-5.004879987508086E-008</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>7.546582463886733E-012</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(3,3)'>
<nm:col nm:cname='THETA1'>3.709426698390904E-007</nm:col>
<nm:col nm:cname='THETA2'>-1.894499261073790E-007</nm:col>
<nm:col nm:cname='THETA3'>1.251754148075731E-006</nm:col>
<nm:col nm:cname='THETA4'>-1.734601463915461E-006</nm:col>
<nm:col nm:cname='THETA5'>1.597068525653206E-009</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>-3.134142603886755E-007</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>5.307996030182496E-011</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>4.202671301883374E-010</nm:col>
</nm:row>
<nm:row nm:rname='SIGMA(1,1)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='SIGMA(1,1)'>0.000000000000000E+000</nm:col>
</nm:row>
</nm:covariance>
<nm:correlation>
<nm:row nm:rname='THETA1'>
<nm:col nm:cname='THETA1'>5.829260970902032E-002</nm:col>
</nm:row>
<nm:row nm:rname='THETA2'>
<nm:col nm:cname='THETA1'>-0.621544915975543</nm:col>
<nm:col nm:cname='THETA2'>4.739757317330535E-002</nm:col>
</nm:row>
<nm:row nm:rname='THETA3'>
<nm:col nm:cname='THETA1'>-0.138922818885485</nm:col>
<nm:col nm:cname='THETA2'>0.651583472559339</nm:col>
<nm:col nm:cname='THETA3'>0.176508009691286</nm:col>
</nm:row>
<nm:row nm:rname='THETA4'>
<nm:col nm:cname='THETA1'>0.103817992104268</nm:col>
<nm:col nm:cname='THETA2'>-0.394113994540745</nm:col>
<nm:col nm:cname='THETA3'>-0.600863540034071</nm:col>
<nm:col nm:cname='THETA4'>1.78347022438189</nm:col>
</nm:row>
<nm:row nm:rname='THETA5'>
<nm:col nm:cname='THETA1'>0.105209620473570</nm:col>
<nm:col nm:cname='THETA2'>-0.284943283211717</nm:col>
<nm:col nm:cname='THETA3'>-0.452562235522478</nm:col>
<nm:col nm:cname='THETA4'>0.983675108715554</nm:col>
<nm:col nm:cname='THETA5'>1.377151358743493E-002</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,1)'>
<nm:col nm:cname='THETA1'>-0.566572707400046</nm:col>
<nm:col nm:cname='THETA2'>0.846193783837404</nm:col>
<nm:col nm:cname='THETA3'>0.195873429443677</nm:col>
<nm:col nm:cname='THETA4'>1.075325782039208E-002</nm:col>
<nm:col nm:cname='THETA5'>7.882615366530084E-002</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>3.125738249782076E-002</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,2)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,2)'>
<nm:col nm:cname='THETA1'>0.372920920123056</nm:col>
<nm:col nm:cname='THETA2'>-0.433967018782287</nm:col>
<nm:col nm:cname='THETA3'>1.281521471298198E-002</nm:col>
<nm:col nm:cname='THETA4'>0.171945398188937</nm:col>
<nm:col nm:cname='THETA5'>0.176710261128722</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>-0.582862211337564</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>2.747104378047316E-006</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(3,3)'>
<nm:col nm:cname='THETA1'>0.310406339594426</nm:col>
<nm:col nm:cname='THETA2'>-0.194973515465765</nm:col>
<nm:col nm:cname='THETA3'>0.345932933100019</nm:col>
<nm:col nm:cname='THETA4'>-4.744288966799373E-002</nm:col>
<nm:col nm:cname='THETA5'>5.656908625132542E-003</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>-0.489106499022885</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.942524647691970</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>2.050041780521405E-005</nm:col>
</nm:row>
<nm:row nm:rname='SIGMA(1,1)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='SIGMA(1,1)'>0.000000000000000E+000</nm:col>
</nm:row>
</nm:correlation>
<nm:invcovariance>
<nm:row nm:rname='THETA1'>
<nm:col nm:cname='THETA1'>7417760871.58325</nm:col>
</nm:row>
<nm:row nm:rname='THETA2'>
<nm:col nm:cname='THETA1'>-1577866575.32389</nm:col>
<nm:col nm:cname='THETA2'>376533922.344236</nm:col>
</nm:row>
<nm:row nm:rname='THETA3'>
<nm:col nm:cname='THETA1'>10174458738.9199</nm:col>
<nm:col nm:cname='THETA2'>-2245259571.97168</nm:col>
<nm:col nm:cname='THETA3'>14117536880.0569</nm:col>
</nm:row>
<nm:row nm:rname='THETA4'>
<nm:col nm:cname='THETA1'>5401522586.29787</nm:col>
<nm:col nm:cname='THETA2'>-1149908438.51179</nm:col>
<nm:col nm:cname='THETA3'>7410687228.26529</nm:col>
<nm:col nm:cname='THETA4'>3933346367.58404</nm:col>
</nm:row>
<nm:row nm:rname='THETA5'>
<nm:col nm:cname='THETA1'>-635198708504.560</nm:col>
<nm:col nm:cname='THETA2'>135274059237.724</nm:col>
<nm:col nm:cname='THETA3'>-871566877079.314</nm:col>
<nm:col nm:cname='THETA4'>-462547801712.009</nm:col>
<nm:col nm:cname='THETA5'>54394066102682.0</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,1)'>
<nm:col nm:cname='THETA1'>16683916010.9168</nm:col>
<nm:col nm:cname='THETA2'>-3590175383.98127</nm:col>
<nm:col nm:cname='THETA3'>22965660545.6529</nm:col>
<nm:col nm:cname='THETA4'>12149969841.2351</nm:col>
<nm:col nm:cname='THETA5'>-1428840154033.61</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>37566904904.6303</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,2)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(1,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,2)'>
<nm:col nm:cname='THETA1'>-50255109670984.4</nm:col>
<nm:col nm:cname='THETA2'>-2892944028711.49</nm:col>
<nm:col nm:cname='THETA3'>-41743005400563.4</nm:col>
<nm:col nm:cname='THETA4'>-36300012987416.5</nm:col>
<nm:col nm:cname='THETA5'>4.252298294487004E+015</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>-99388534260496.0</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>4.907714228817029E+018</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(2,3)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
</nm:row>
<nm:row nm:rname='OMEGA(3,3)'>
<nm:col nm:cname='THETA1'>5934438921453.03</nm:col>
<nm:col nm:cname='THETA2'>677701667666.166</nm:col>
<nm:col nm:cname='THETA3'>4256419068839.03</nm:col>
<nm:col nm:cname='THETA4'>4279235937254.27</nm:col>
<nm:col nm:cname='THETA5'>-500872934190132.</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>11398842010262.3</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>-6.925658235868603E+017</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>9.792744926209810E+016</nm:col>
</nm:row>
<nm:row nm:rname='SIGMA(1,1)'>
<nm:col nm:cname='THETA1'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA2'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA3'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA4'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='THETA5'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,1)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(1,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,2)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(2,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='OMEGA(3,3)'>0.000000000000000E+000</nm:col>
<nm:col nm:cname='SIGMA(1,1)'>0.000000000000000E+000</nm:col>
</nm:row>
</nm:invcovariance>
</nm:estimation>
<nm:post_process_times>
<nm:post_elapsed_time>0.95</nm:post_elapsed_time>
<nm:finaloutput_elapsed_time>0.04</nm:finaloutput_elapsed_time>
</nm:post_process_times>
</nm:problem>
</nm:nonmem>
<nm:stop_datetime>2023-06-12T22:08:21.556</nm:stop_datetime>
<nm:total_cputime>125.395</nm:total_cputime>
</nm:output>
