I forward this message in behalf of Maria Matoses. 

Thank you!

---------- Forwarded message ----------
From: Maria Matoses Osborne <[email protected]>

Date: 2011/11/24
Subject: Segmentation fault
To: [email protected]


Dear Nonmem users,

I
 just run a couple of times into the same problem, and still find myself
 incapable of solving it, hopefully you might come with some new ideas 
for this unusual problem (at least for the Navarra group). 



With NONMEM, I'm running a model of 12 compartments,  the procedure 
used was adding one compartment at the time and fixing the thetas 
previously obtained before adding a new compartment. It went well until I
 reached the compartment 12, when a message came out of NONMEM saying: 



 line 65:  8666 Segmentation fault      ./nonmem $1 $3 -licfile=$lfile

Do you have any idea of why that happens?

Thanks in advance,

MarĂ­a Matoses Osborne

The NONMEM script is as follows: 




$PROBLEM RATS PK - IV ADM 
$INPUT ID TIME AMT CMT CMTT DVV DV WEIG ORWE RUTE DRUG EVID
$DATA rat2.dta IGNORE= #
$SUBROUTINES ADVAN9  TOL=5
$MODEL COMP (DPL)
       COMP (MPL)
       COMP (DBR)


       COMP (MBR)
       COMP (DBM)
       COMP (MBM)
       COMP (DSP)
       COMP (MSP)
       COMP (DLN)
       COMP (DTRA)
       COMP (MLN)
       COMP (MTRA)
         
$PK

;-------- DRUG AND MET IN PLASMA  --------------



V1=THETA(1)*EXP(ETA(1))
V2=THETA(2)
CLR=THETA(3)
CLM12=THETA(4)
CLM20=THETA(5)

;----------- DRUG IN BRAIN ------------

V3=THETA(6)/1000
CL13=THETA(7)
CL30=THETA(8)

;----------- MET IN BRAIN --------------



V4=THETA(9)
CL24=THETA(10)
CL40=THETA(11)

;----------- DRUG IN BONE MARROW -----

V5=THETA(12)
CL15=THETA(13)
CL50=THETA(14)

;----------- MET IN BONE MARROW  -------

V6=THETA(15)/1000


CL26=THETA(16)
CL60=THETA(17)

;------------ DRUG IN SPLEEN -------

V7=THETA(18)/1000
CL17=THETA(19)
CL70=THETA(20)

;----------- MET IN SPLEEN -------------

V8=THETA(21)/1000
CL28=THETA(22)


CL80=THETA(23)/1000

;---------- DRUG IN LYMPN NODE ----------

V9=THETA(24)/100000
CL19=THETA(25)
CL90=THETA(26)

;----------- MET IN LYMPH NODE ----------

V11=THETA(27)
CL211=THETA(28)


CL110=THETA(29)


S1=V1/1000
S2=V2/1000
S3=V3/1000
S4=V4/1000
S5=V5/1000
S6=V6/1000
S7=V7/1000
S8=V8/1000
S9=V9/1000
S11=V11/1000

$DES

DADT(1)=-((CLR*CLM12)/V1)*A(1)
DADT(2)=(CLM12/V1)*A(1)-(CLM20/V2)*A(2)


DADT(3)=(CL13/V1)*A(1)-(CL30/V3)*A(3)
DADT(4)=(CL24/V2)*A(2)-(CL40/V4)*A(4)
DADT(5)=(CL15/V1)*A(1)-(CL50/V5)*A(5)
DADT(6)=(CL26/V2)*A(2)-(CL60/V6)*A(6)
DADT(7)=(CL17/V1)*A(1)-(CL70/V7)*A(7)
DADT(8)=(CL28/V2)*A(2)-(CL80/V8)*A(8)


DADT(9)=(CL19/V1)*A(10)-(CL90/V9)*A(9)
DADT(10)=(CL19/V1)*A(1)-(CL19/V1)*A(10)
DADT(11)=(CL211/V2)*A(12)-(CL110/V11)*A(11)
DADT(12)=(CL211/V2)*A(2)-(CL211/V2)*A(12)


$ERROR(OBSERVATION ONLY)

IPRED=LOG(F) 


 
Y=IPRED+EPS(1)
IF (CMT.EQ.2)  Y=IPRED+EPS(2)
IF (CMT.EQ.3)  Y=IPRED+EPS(3)
IF (CMT.EQ.4)  Y=IPRED+EPS(4)
IF (CMT.EQ.5)  Y=IPRED+EPS(5)
IF (CMT.EQ.6)  Y=IPRED+EPS(6)
IF (CMT.EQ.7)  Y=IPRED+EPS(7)


IF (CMT.EQ.8)  Y=IPRED+EPS(8)
IF (CMT.EQ.9)  Y=IPRED+EPS(9)
IF (CMT.EQ.11) Y=IPRED+EPS(10)
     

$ESTIMATION MAXEVAL=9999 PRINT=5 METHOD=1 INTERACTION NOABORT
$COV  
             
$THETA 2.9 FIX                    ; V1


$THETA 5.8 FIX                    ; V2
$THETA 1.22 FIX                   ; CLR
$THETA 0.3 FIX                    ; CLM12
$THETA 0.526 FIX                  ; CLM20

$THETA 0.8 FIX                    ; V3


$THETA 1.65 FIX                   ; CL13
$THETA 0.2 FIX                    ; CL30

$THETA 0.0129 FIX                 ; V4
$THETA 0.82 FIX                   ; CL24
$THETA 0.0289 FIX                 ; CL40



$THETA 0.244 FIX                  ; V5
$THETA 1.13 FIX                   ; CL15
$THETA 1.55 FIX                   ; CL50

$THETA 0.925 FIX                  ; V6
$THETA 1.9 FIX                    ; CL26


$THETA 3.67 FIX                   ; CL60

$THETA 6.67 FIX                   ; V7
$THETA 0.5 FIX                    ; CL17
$THETA 0.0112 FIX                 ; CL70

$THETA 1.23 FIX                   ; V8


$THETA 0.09 FIX                   ; CL28
$THETA 1.74 FIX                   ; CL80

$THETA 0.959 FIX                  ; V9
$THETA 5.77 FIX                   ; CL19
$THETA 0.0544 FIX                 ; CL90



$THETA (0,1)                      ; V11
$THETA (0,1)                      ; CL211 
$THETA (0,1)                      ; CL110



$OMEGA 0 FIX           
$SIGMA 0.1  
$SIGMA 0.187   
$SIGMA 0.15


$SIGMA 0.37
$SIGMA 0.22
$SIGMA 0.64
$SIGMA 0.212
$SIGMA 0.2 
$SIGMA 0.167
$SIGMA 0.1 
 

$TABLE ID TIME CMTT CMT EVID ONEHEADER NOPRINT FILE=sdtab46

And the dataset head is: 


 
 
  #ID
  TIME 
  AMT 
  CMTT
  CMT
  DVV
  DV
  WEIG
  ORWE
  RUTE
  DRUG
  EVID
 
 
  1
  0
  0.165
  1
  1
  0
  0
  220
  .
  1
  1
  4
 
 
  1
  0.16
  .
  1
  1
  82.13
  4.41
  220
  .
  1
  1
  0
 
 
  1
  0.16
  .
  2
  2
  0.864
  -0.15
  220
  .
  1
  2
  0
 
 
  1
  0.16
  .
  3
  3
  635.8
  6.45
  220
  2.1
  1
  1
  0
 
 
  1
  0.16
  .
  4
  3
  4.761
  1.56
  220
  2.1
  1
  2
  0
 
 
  1
  0.16
  .
  5
  3
  21.04
  3.05
  220
  .
  1
  1
  0
 
 
  1
  0.16
  .
  6
  3
  0.864
  -0.15
  220
  .
  1
  2
  0
 
 
  1
  0.16
  .
  7
  3
  708.13
  6.56
  220
  1.03
  1
  1
  0
 
 
  1
  0.16
  .
  8
  3
  2.35
  0.85
  220
  1.03
  1
  2
  0
 
 
  1
  0.16
  .
  9
  3
  1942.59
  7.57
  220
  0.21
  1
  1
  0
 
 
  1
  0.16
  .
  11
  3
  1.728
  0.55
  220
  0.21
  1
  2
  0
 
 
  2
  0
  0.159
  1
  1
  0
  0
  212
  .
  1
  1
  4
 
 
  2
  0.16
  .
  1
  1
  57.62
  4.05
  212
  .
  1
  1
  0
 
 
  2
  0.16
  .
  2
  2
  0.864
  -0.15
  212
  .
  1
  2
  0
 
 
  2
  0.16
  .
  3
  3
  414.11
  6.03
  212
  2
  1
  1
  0
 
 
  2
  0.16
  .
  4
  3
  4.761
  1.56
  212
  2
  1
  2
  0
 
 
  2
  0.16
  .
  5
  3
  15.56
  2.74
  212
  .
  1
  1
  0
 
 
  2
  0.16
  .
  6
  3
  0.864
  -0.15
  212
  .
  1
  2
  0
 
 
  2
  0.16
  .
  7
  3
  481.66
  6.18
  212
  1.1
  1
  1
  0
 
 
  2
  0.16
  .
  8
  3
  4.95
  1.6
  212
  1.1
  1
  2
  0
 
 
  2
  0.16
  .
  9
  3
  2890.95
  7.97
  212
  0.22
  1
  1
  0
 
 
  2
  0.16
  .
  11
  3
  1.728
  0.55
  212
  0.22
  1
  2
  0
 

  

                                          

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