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version 1.3, 2006/02/09 15:20:33 version 1.5, 2015/08/18 16:43:19
Line 1 Line 1
 Log filename:biaspar.log  Log filename:biaspar.log
   
 Imach version 0.98b, January 2006, INED-EUROREVES  Imach version 0.98q5, August 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015
 $Revision$ $Date$  $Revision$ $Date$
 Enter the parameter file name:  Enter the parameter file name: 
 pathimach=C:\Program Files\IMaCh\bin\  pathimach=/Users/nbrouard/Documents/imach/cvs/imach/build/osx/
 pathtot=C:\Program Files\IMaCh\doc\biaspar.imach  pathtot=html/doc/biaspar.imach
  path=C:\Program Files\IMaCh\doc\   path=html/doc/ 
  optionfile=biaspar.imach   optionfile=biaspar.imach
  optionfilext=imach   optionfilext=imach
  optionfilefiname=biaspar   optionfilefiname='biaspar'
 Local time (at start): Thu Feb 09 13:51:49 2006  Local time (at start): Tue Aug 18 18:20:44 2015
 # Imach version 0.97b, June 2004, INED-EUROREVES  # Imach version 0.98q2, April 2015, INED-EUROREVES
 title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4  title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
 ftol=1.000000e-008 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0  ftol=1.000000e-08 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0
 model=.  model=1+age+.
 # Parameters  #q Parameters
 11 0.000000 0.000000  12 -12.245240 0.092358
 12 0.000000 0.000000  13 -10.671890 0.060969
 21 0.000000 0.000000  21 -2.645345 -0.022325
 22 0.000000 0.000000  23 -4.773317 0.007859
 # Scales  # Scales
 12 0.000000e+000 0.000000e+000  12 0.000000e+00 0.000000e+00
 13 0.000000e+000 0.000000e+000  13 0.000000e+00 0.000000e+00
 21 0.000000e+000 0.000000e+000  21 0.000000e+00 0.000000e+00
 23 0.000000e+000 0.000000e+000  23 0.000000e+00 0.000000e+00
 #covariance matrix#  #covariance matrix#
 121 0.00000e+000  121 0.00000e+00
 122 0.00000e+000 0.00000e+000  122 0.00000e+00 0.00000e+00
 131 0.00000e+000 0.00000e+000 0.00000e+000  131 0.00000e+00 0.00000e+00 0.00000e+00
 132 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000  132 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
 211 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000  211 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
 212 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000  212 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
 231 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000  231 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
 232 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000  232 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
   
 Total number of individuals= 8270, Agemin = 70.00, Agemax= 104.17  Total number of individuals= 8270, Agemin = 70.00, Agemax= 104.17
   
 Delay (in months) between two waves Min=1 (for indiviudal 6017) Max=74 (5168) Mean=24.040080  Delay (in months) between two waves Min=1 (for indiviudal 6017) Max=74 (5168) Mean=24.040080
   
  Age 70 1.=665 loss[1]=5.1% 2.=0 loss[2]=NaNQ% 1.=631 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=34 11=563 12=33 13=35 33=6   Age 70 1.=665 loss[1]=5.1% 2.=0 loss[2]=NaNQ% 1.=631 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=34 11=563 12=33 13=35 33=6
 Age 71 1.=663 loss[1]=5.7% 2.=2 loss[2]=0.0% 1.=625 prev[1]=99.7% 2.=2 prev[2]=0.3% 1-1=38 11=530 12=47 13=48 21=1 22=1 3-1=2 33=31  Age 71 1.=663 loss[1]=5.7% 2.=2 loss[2]=0.0% 1.=625 prev[1]=99.7% 2.=2 prev[2]=0.3% 1-1=38 11=530 12=47 13=48 21=1 22=1 3-1=2 33=31
 Age 72 1.=1181 loss[1]=5.6% 2.=35 loss[2]=5.7% 1.=1115 prev[1]=97.1% 2.=33 prev[2]=2.9% 1-1=66 11=969 12=70 13=76 2-1=2 21=9 22=18 23=6 3-1=2 33=87  Age 72 1.=1181 loss[1]=5.6% 2.=35 loss[2]=5.7% 1.=1115 prev[1]=97.1% 2.=33 prev[2]=2.9% 1-1=66 11=969 12=70 13=76 2-1=2 21=9 22=18 23=6 3-1=2 33=87
 Age 73 1.=1119 loss[1]=5.1% 2.=48 loss[2]=8.3% 1.=1062 prev[1]=96.0% 2.=44 prev[2]=4.0% 1-1=57 11=912 12=71 13=79 2-1=4 21=12 22=26 23=6 3-1=12 33=94  Age 73 1.=1119 loss[1]=5.1% 2.=48 loss[2]=8.3% 1.=1062 prev[1]=96.0% 2.=44 prev[2]=4.0% 1-1=57 11=912 12=71 13=79 2-1=4 21=12 22=26 23=6 3-1=12 33=94
 Age 74 1.=1563 loss[1]=4.2% 2.=90 loss[2]=4.4% 1.=1497 prev[1]=94.6% 2.=86 prev[2]=5.4% 1-1=66 11=1277 12=104 13=116 2-1=4 21=30 22=41 23=15 3-1=4 33=125  Age 74 1.=1563 loss[1]=4.2% 2.=90 loss[2]=4.4% 1.=1497 prev[1]=94.6% 2.=86 prev[2]=5.4% 1-1=66 11=1277 12=104 13=116 2-1=4 21=30 22=41 23=15 3-1=4 33=125
 Age 75 1.=1463 loss[1]=6.2% 2.=98 loss[2]=7.1% 1.=1372 prev[1]=93.8% 2.=91 prev[2]=6.2% 1-1=91 11=1155 12=98 13=119 2-1=7 21=15 22=55 23=21 3-1=4 33=124  Age 75 1.=1463 loss[1]=6.2% 2.=98 loss[2]=7.1% 1.=1372 prev[1]=93.8% 2.=91 prev[2]=6.2% 1-1=91 11=1155 12=98 13=119 2-1=7 21=15 22=55 23=21 3-1=4 33=124
 Age 76 1.=1390 loss[1]=4.5% 2.=112 loss[2]=3.6% 1.=1328 prev[1]=92.5% 2.=108 prev[2]=7.5% 1-1=62 11=1090 12=111 13=127 2-1=4 21=25 22=54 23=29 3-1=4 33=142  Age 76 1.=1390 loss[1]=4.5% 2.=112 loss[2]=3.6% 1.=1328 prev[1]=92.5% 2.=108 prev[2]=7.5% 1-1=62 11=1090 12=111 13=127 2-1=4 21=25 22=54 23=29 3-1=4 33=142
 Age 77 1.=1271 loss[1]=5.0% 2.=101 loss[2]=5.9% 1.=1208 prev[1]=92.7% 2.=95 prev[2]=7.3% 1-1=63 11=962 12=131 13=115 2-1=6 21=24 22=52 23=19 3-1=7 33=145  Age 77 1.=1271 loss[1]=5.0% 2.=101 loss[2]=5.9% 1.=1208 prev[1]=92.7% 2.=95 prev[2]=7.3% 1-1=63 11=962 12=131 13=115 2-1=6 21=24 22=52 23=19 3-1=7 33=145
 Age 78 1.=1166 loss[1]=4.9% 2.=122 loss[2]=4.1% 1.=1109 prev[1]=90.5% 2.=117 prev[2]=9.5% 1-1=57 11=894 12=111 13=104 2-1=5 21=21 22=75 23=21 3-1=4 33=146  Age 78 1.=1166 loss[1]=4.9% 2.=122 loss[2]=4.1% 1.=1109 prev[1]=90.5% 2.=117 prev[2]=9.5% 1-1=57 11=894 12=111 13=104 2-1=5 21=21 22=75 23=21 3-1=4 33=146
 Age 79 1.=1045 loss[1]=5.7% 2.=133 loss[2]=5.3% 1.=985 prev[1]=88.7% 2.=126 prev[2]=11.3% 1-1=60 11=773 12=109 13=103 2-1=7 21=31 22=68 23=27 3-1=8 33=136  Age 79 1.=1045 loss[1]=5.7% 2.=133 loss[2]=5.3% 1.=985 prev[1]=88.7% 2.=126 prev[2]=11.3% 1-1=60 11=773 12=109 13=103 2-1=7 21=31 22=68 23=27 3-1=8 33=136
 Age 80 1.=986 loss[1]=4.1% 2.=128 loss[2]=3.1% 1.=946 prev[1]=88.4% 2.=124 prev[2]=11.6% 1-1=40 11=718 12=140 13=88 2-1=4 21=21 22=71 23=32 3-1=6 33=121  Age 80 1.=986 loss[1]=4.1% 2.=128 loss[2]=3.1% 1.=946 prev[1]=88.4% 2.=124 prev[2]=11.6% 1-1=40 11=718 12=140 13=88 2-1=4 21=21 22=71 23=32 3-1=6 33=121
 Age 81 1.=872 loss[1]=4.9% 2.=130 loss[2]=3.8% 1.=829 prev[1]=86.9% 2.=125 prev[2]=13.1% 1-1=43 11=629 12=102 13=98 2-1=5 21=24 22=74 23=27 3-1=5 33=126  Age 81 1.=872 loss[1]=4.9% 2.=130 loss[2]=3.8% 1.=829 prev[1]=86.9% 2.=125 prev[2]=13.1% 1-1=43 11=629 12=102 13=98 2-1=5 21=24 22=74 23=27 3-1=5 33=126
 Age 82 1.=803 loss[1]=4.4% 2.=146 loss[2]=4.1% 1.=768 prev[1]=84.6% 2.=140 prev[2]=15.4% 1-1=35 11=546 12=131 13=91 2-1=6 21=15 22=77 23=48 3-1=11 33=100  Age 82 1.=803 loss[1]=4.4% 2.=146 loss[2]=4.1% 1.=768 prev[1]=84.6% 2.=140 prev[2]=15.4% 1-1=35 11=546 12=131 13=91 2-1=6 21=15 22=77 23=48 3-1=11 33=100
 Age 83 1.=726 loss[1]=6.5% 2.=116 loss[2]=0.9% 1.=679 prev[1]=85.5% 2.=115 prev[2]=14.5% 1-1=47 11=456 12=124 13=99 2-1=1 21=19 22=71 23=25 3-1=8 33=133  Age 83 1.=726 loss[1]=6.5% 2.=116 loss[2]=0.9% 1.=679 prev[1]=85.5% 2.=115 prev[2]=14.5% 1-1=47 11=456 12=124 13=99 2-1=1 21=19 22=71 23=25 3-1=8 33=133
 Age 84 1.=622 loss[1]=5.6% 2.=147 loss[2]=4.1% 1.=587 prev[1]=80.6% 2.=141 prev[2]=19.4% 1-1=35 11=394 12=112 13=81 2-1=6 21=18 22=82 23=41 3-1=5 33=114  Age 84 1.=622 loss[1]=5.6% 2.=147 loss[2]=4.1% 1.=587 prev[1]=80.6% 2.=141 prev[2]=19.4% 1-1=35 11=394 12=112 13=81 2-1=6 21=18 22=82 23=41 3-1=5 33=114
 Age 85 1.=526 loss[1]=4.4% 2.=127 loss[2]=6.3% 1.=503 prev[1]=80.9% 2.=119 prev[2]=19.1% 1-1=23 11=315 12=122 13=66 2-1=8 21=13 22=67 23=39 3-1=4 33=137  Age 85 1.=526 loss[1]=4.4% 2.=127 loss[2]=6.3% 1.=503 prev[1]=80.9% 2.=119 prev[2]=19.1% 1-1=23 11=315 12=122 13=66 2-1=8 21=13 22=67 23=39 3-1=4 33=137
 Age 86 1.=464 loss[1]=5.2% 2.=130 loss[2]=6.2% 1.=440 prev[1]=78.3% 2.=122 prev[2]=21.7% 1-1=24 11=271 12=103 13=66 2-1=8 21=18 22=70 23=34 3-1=3 33=112  Age 86 1.=464 loss[1]=5.2% 2.=130 loss[2]=6.2% 1.=440 prev[1]=78.3% 2.=122 prev[2]=21.7% 1-1=24 11=271 12=103 13=66 2-1=8 21=18 22=70 23=34 3-1=3 33=112
 Age 87 1.=372 loss[1]=4.8% 2.=143 loss[2]=2.8% 1.=354 prev[1]=71.8% 2.=139 prev[2]=28.2% 1-1=18 11=219 12=79 13=56 2-1=4 21=15 22=71 23=53 3-1=1 33=81  Age 87 1.=372 loss[1]=4.8% 2.=143 loss[2]=2.8% 1.=354 prev[1]=71.8% 2.=139 prev[2]=28.2% 1-1=18 11=219 12=79 13=56 2-1=4 21=15 22=71 23=53 3-1=1 33=81
 Age 88 1.=283 loss[1]=3.9% 2.=164 loss[2]=6.7% 1.=272 prev[1]=64.0% 2.=153 prev[2]=36.0% 1-1=11 11=172 12=63 13=37 2-1=11 21=25 22=84 23=44 3-1=8 33=102  Age 88 1.=283 loss[1]=3.9% 2.=164 loss[2]=6.7% 1.=272 prev[1]=64.0% 2.=153 prev[2]=36.0% 1-1=11 11=172 12=63 13=37 2-1=11 21=25 22=84 23=44 3-1=8 33=102
 Age 89 1.=227 loss[1]=3.5% 2.=152 loss[2]=4.6% 1.=219 prev[1]=60.2% 2.=145 prev[2]=39.8% 1-1=8 11=135 12=45 13=39 2-1=7 21=21 22=73 23=51 3-1=2 33=77  Age 89 1.=227 loss[1]=3.5% 2.=152 loss[2]=4.6% 1.=219 prev[1]=60.2% 2.=145 prev[2]=39.8% 1-1=8 11=135 12=45 13=39 2-1=7 21=21 22=73 23=51 3-1=2 33=77
 Age 90 1.=181 loss[1]=3.9% 2.=143 loss[2]=4.9% 1.=174 prev[1]=56.1% 2.=136 prev[2]=43.9% 1-1=7 11=104 12=41 13=29 2-1=7 21=18 22=82 23=36 3-1=1 33=75  Age 90 1.=181 loss[1]=3.9% 2.=143 loss[2]=4.9% 1.=174 prev[1]=56.1% 2.=136 prev[2]=43.9% 1-1=7 11=104 12=41 13=29 2-1=7 21=18 22=82 23=36 3-1=1 33=75
 Age 91 1.=146 loss[1]=4.1% 2.=109 loss[2]=8.3% 1.=140 prev[1]=58.3% 2.=100 prev[2]=41.7% 1-1=6 11=78 12=36 13=26 2-1=9 21=11 22=51 23=38 3-1=3 33=77  Age 91 1.=146 loss[1]=4.1% 2.=109 loss[2]=8.3% 1.=140 prev[1]=58.3% 2.=100 prev[2]=41.7% 1-1=6 11=78 12=36 13=26 2-1=9 21=11 22=51 23=38 3-1=3 33=77
 Age 92 1.=114 loss[1]=6.1% 2.=101 loss[2]=2.0% 1.=107 prev[1]=51.9% 2.=99 prev[2]=48.1% 1-1=7 11=47 12=43 13=17 2-1=2 21=11 22=52 23=36 3-1=2 33=61  Age 92 1.=114 loss[1]=6.1% 2.=101 loss[2]=2.0% 1.=107 prev[1]=51.9% 2.=99 prev[2]=48.1% 1-1=7 11=47 12=43 13=17 2-1=2 21=11 22=52 23=36 3-1=2 33=61
 Age 93 1.=78 loss[1]=3.8% 2.=89 loss[2]=12.4% 1.=75 prev[1]=49.0% 2.=78 prev[2]=51.0% 1-1=3 11=36 12=25 13=14 2-1=11 21=10 22=46 23=22 3-1=2 33=62  Age 93 1.=78 loss[1]=3.8% 2.=89 loss[2]=12.4% 1.=75 prev[1]=49.0% 2.=78 prev[2]=51.0% 1-1=3 11=36 12=25 13=14 2-1=11 21=10 22=46 23=22 3-1=2 33=62
 Age 94 1.=51 loss[1]=3.9% 2.=71 loss[2]=1.4% 1.=49 prev[1]=41.2% 2.=70 prev[2]=58.8% 1-1=2 11=24 12=8 13=17 2-1=1 21=4 22=39 23=27 3-1=1 33=37  Age 94 1.=51 loss[1]=3.9% 2.=71 loss[2]=1.4% 1.=49 prev[1]=41.2% 2.=70 prev[2]=58.8% 1-1=2 11=24 12=8 13=17 2-1=1 21=4 22=39 23=27 3-1=1 33=37
 Age 95 1.=38 loss[1]=5.3% 2.=57 loss[2]=5.3% 1.=36 prev[1]=40.0% 2.=54 prev[2]=60.0% 1-1=2 11=16 12=13 13=7 2-1=3 21=4 22=31 23=19 3-1=1 33=39  Age 95 1.=38 loss[1]=5.3% 2.=57 loss[2]=5.3% 1.=36 prev[1]=40.0% 2.=54 prev[2]=60.0% 1-1=2 11=16 12=13 13=7 2-1=3 21=4 22=31 23=19 3-1=1 33=39
 Age 96 1.=25 loss[1]=4.0% 2.=43 loss[2]=4.7% 1.=24 prev[1]=36.9% 2.=41 prev[2]=63.1% 1-1=1 11=11 12=9 13=4 2-1=2 21=2 22=22 23=17 3-1=2 33=25  Age 96 1.=25 loss[1]=4.0% 2.=43 loss[2]=4.7% 1.=24 prev[1]=36.9% 2.=41 prev[2]=63.1% 1-1=1 11=11 12=9 13=4 2-1=2 21=2 22=22 23=17 3-1=2 33=25
 Age 97 1.=11 loss[1]=0.0% 2.=36 loss[2]=8.3% 1.=11 prev[1]=25.0% 2.=33 prev[2]=75.0% 11=4 12=7 2-1=3 21=2 22=22 23=9 33=23  Age 97 1.=11 loss[1]=0.0% 2.=36 loss[2]=8.3% 1.=11 prev[1]=25.0% 2.=33 prev[2]=75.0% 11=4 12=7 2-1=3 21=2 22=22 23=9 33=23
 Age 98 1.=5 loss[1]=0.0% 2.=21 loss[2]=0.0% 1.=5 prev[1]=19.2% 2.=21 prev[2]=80.8% 11=1 12=4 21=1 22=13 23=7 3-1=1 33=17  Age 98 1.=5 loss[1]=0.0% 2.=21 loss[2]=0.0% 1.=5 prev[1]=19.2% 2.=21 prev[2]=80.8% 11=1 12=4 21=1 22=13 23=7 3-1=1 33=17
 Age 99 1.=6 loss[1]=0.0% 2.=14 loss[2]=0.0% 1.=6 prev[1]=30.0% 2.=14 prev[2]=70.0% 11=3 12=1 13=2 21=2 22=2 23=10 33=6  Age 99 1.=6 loss[1]=0.0% 2.=14 loss[2]=0.0% 1.=6 prev[1]=30.0% 2.=14 prev[2]=70.0% 11=3 12=1 13=2 21=2 22=2 23=10 33=6
 Age 100 1.=2 loss[1]=0.0% 2.=9 loss[2]=0.0% 1.=2 prev[1]=18.2% 2.=9 prev[2]=81.8% 11=1 12=1 21=2 22=5 23=2 33=2  Age 100 1.=2 loss[1]=0.0% 2.=9 loss[2]=0.0% 1.=2 prev[1]=18.2% 2.=9 prev[2]=81.8% 11=1 12=1 21=2 22=5 23=2 33=2
 Age 101 1.=2 loss[1]=50.0% 2.=0 loss[2]=NaNQ% 1.=1 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=1 12=1 3-1=1 33=3  Age 101 1.=2 loss[1]=50.0% 2.=0 loss[2]=NaNQ% 1.=1 prev[1]=100.0% 2.=0 prev[2]=0.0% 1-1=1 12=1 3-1=1 33=3
 Age 102 1.=2 loss[1]=0.0% 2.=1 loss[2]=0.0% 1.=2 prev[1]=66.7% 2.=1 prev[2]=33.3% 12=2 22=1 33=1  Age 102 1.=2 loss[1]=0.0% 2.=1 loss[2]=0.0% 1.=2 prev[1]=66.7% 2.=1 prev[2]=33.3% 12=2 22=1 33=1
 Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%  Age 103 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
 Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%  Age 104 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
 Age 105 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%  Age 105 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ%
 Age 106 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% -1-1=69 -11=718 -12=195 -13=261  Age 106 1.=0 loss[1]=NaNQ% 2.=0 loss[2]=NaNQ% 1.=0 prev[1]=NaNQ% 2.=0 prev[2]=NaNQ% -1-1=69 -11=718 -12=195 -13=261
 Total 1.=18068 loss[1]=5.0% 2.=2818 loss[2]=4.9% 1.=17161 prev[1]=86.5% 2.=2681 prev[2]=13.5% -1-1=69 -11=718 -12=195 -13=261 1-1=907 11=13305 12=2097 13=1759 2-1=137 21=424 22=1496 23=761 3-1=114 33=2567  Total 1.=18068 loss[1]=5.0% 2.=2818 loss[2]=4.9% 1.=17161 prev[1]=86.5% 2.=2681 prev[2]=13.5% -1-1=69 -11=718 -12=195 -13=261 1-1=907 11=13305 12=2097 13=1759 2-1=137 21=424 22=1496 23=761 3-1=114 33=2567
 Powell  Powell
  1 0.000000000000 2 0.000000000000 3 0.000000000000 4 0.000000000000 5 0.000000000000 6 0.000000000000 7 0.000000000000 8 0.000000000000  
   Powell iter=1 -2*LL=46542.394740741831 0 sec. 1 sec. 1 -12.245240000000 2 0.092358000000 3 -10.671890000000 4 0.060969000000 5 -2.645345000000 6 -0.022325000000 7 -4.773317000000 8 0.007859000000
 Considering the time needed for this last iteration #1: 2 seconds,  
    - if your program needs 10 iterations to converge, convergence will be  Considering the time needed for this last iteration #1: 0 seconds,
    reached in 0 day(s) 0 hour(s) 0 minute(s) 18 second(s) i.e.     - if your program needs 10 iterations to converge, convergence will be 
    on Thu Feb 09 13:52:09 2006 (current time is Thu Feb 09 13:51:51 2006);     reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
    - if your program needs 20 iterations to converge, convergence will be     on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015);
    reached in 0 day(s) 0 hour(s) 0 minute(s) 38 second(s) i.e.     - if your program needs 20 iterations to converge, convergence will be 
    on Thu Feb 09 13:52:29 2006 (current time is Thu Feb 09 13:51:51 2006);     reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
    - if your program needs 30 iterations to converge, convergence will be     on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015);
    reached in 0 day(s) 0 hour(s) 0 minute(s) 58 second(s) i.e.     - if your program needs 30 iterations to converge, convergence will be 
    on Thu Feb 09 13:52:49 2006 (current time is Thu Feb 09 13:51:51 2006);     reached in 0 day(s) 0 hour(s) 0 minute(s) 0 second(s) i.e.
 1........2..............3..........4.........................5.....6............7.........8.............................. 1 8.981830503530 2 0.016741784553 3 -0.434798498880 4 0.000504776710 5 3.199437397533 6 -0.000133684830 7 -0.817356116305 8 0.000414700006     on Tue Aug 18 18:20:45 2015 (current time is Tue Aug 18 18:20:45 2015);
   1.............2.....................3...............4...................5..........6.............7...............8..................
 Considering the time needed for this last iteration #2: 96 seconds,  Powell iter=2 -2*LL=46542.366177077667 23 sec. 24 sec. 1 -12.245474667968 2 0.092360078052 3 -10.671718090206 4 0.060967648859 5 -2.641226372487 6 -0.022378298324 7 -4.773347352998 8 0.007897501084
    - if your program needs 10 iterations to converge, convergence will be  
    reached in 0 day(s) 0 hour(s) 12 minute(s) 48 second(s) i.e.  Considering the time needed for this last iteration #2: 23 seconds,
    on Thu Feb 09 14:06:15 2006 (current time is Thu Feb 09 13:53:27 2006);     - if your program needs 10 iterations to converge, convergence will be 
    - if your program needs 20 iterations to converge, convergence will be     reached in 0 day(s) 0 hour(s) 3 minute(s) 4 second(s) i.e.
    reached in 0 day(s) 0 hour(s) 28 minute(s) 48 second(s) i.e.     on Tue Aug 18 18:24:12 2015 (current time is Tue Aug 18 18:21:08 2015);
    on Thu Feb 09 14:22:15 2006 (current time is Thu Feb 09 13:53:27 2006);     - if your program needs 20 iterations to converge, convergence will be 
    - if your program needs 30 iterations to converge, convergence will be     reached in 0 day(s) 0 hour(s) 6 minute(s) 54 second(s) i.e.
    reached in 0 day(s) 0 hour(s) 44 minute(s) 48 second(s) i.e.     on Tue Aug 18 18:28:02 2015 (current time is Tue Aug 18 18:21:08 2015);
    on Thu Feb 09 14:38:15 2006 (current time is Thu Feb 09 13:53:27 2006);     - if your program needs 30 iterations to converge, convergence will be 
 1...........2.....................3..........4..................5.................6................7..........8................. 1 -2.281851420614 2 0.011363347897 3 -3.509250082173 4 -0.009372375479 5 2.547955940839 6 -0.006889808118 7 -1.246131470686 8 -0.012649672177     reached in 0 day(s) 0 hour(s) 10 minute(s) 44 second(s) i.e.
      on Tue Aug 18 18:31:52 2015 (current time is Tue Aug 18 18:21:08 2015);
 Considering the time needed for this last iteration #3: 101 seconds,  1............2.................3............4...................5..........6.............7..........8.........................Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 :
    - if your program needs 10 iterations to converge, convergence will be  
    reached in 0 day(s) 0 hour(s) 11 minute(s) 47 second(s) i.e.  Powell iter=3 -2*LL=46542.180101184662 22 sec. 46 sec. 1 -12.243554549912 2 0.092379481639 3 -10.687240979880 4 0.060948425212 5 -2.601681584093 6 -0.022889573696 7 -4.797716971796 8 0.008263023171
    on Thu Feb 09 14:06:55 2006 (current time is Thu Feb 09 13:55:08 2006);  
    - if your program needs 20 iterations to converge, convergence will be  Considering the time needed for this last iteration #3: 22 seconds,
    reached in 0 day(s) 0 hour(s) 28 minute(s) 37 second(s) i.e.     - if your program needs 10 iterations to converge, convergence will be 
    on Thu Feb 09 14:23:45 2006 (current time is Thu Feb 09 13:55:08 2006);     reached in 0 day(s) 0 hour(s) 2 minute(s) 34 second(s) i.e.
    - if your program needs 30 iterations to converge, convergence will be     on Tue Aug 18 18:24:04 2015 (current time is Tue Aug 18 18:21:30 2015);
    reached in 0 day(s) 0 hour(s) 45 minute(s) 27 second(s) i.e.     - if your program needs 20 iterations to converge, convergence will be 
    on Thu Feb 09 14:40:35 2006 (current time is Thu Feb 09 13:55:08 2006);     reached in 0 day(s) 0 hour(s) 6 minute(s) 14 second(s) i.e.
 1........2.................3......4....................5........6....................7..........8........... 1 -2.182068719033 2 0.011466946413 3 -4.731512500809 4 -0.008159452148 5 2.446990558784 6 -0.008351793528 7 -1.338382615583 8 -0.012700284730     on Tue Aug 18 18:27:44 2015 (current time is Tue Aug 18 18:21:30 2015);
 1........2................3..........4...................5.........6...................7..........8....................... 1 -3.070051387063 2 0.018028797393 3 -6.179592221557 4 0.001925017337 5 2.212186097394 6 -0.027641117484 7 -2.308560805740 8 -0.013145623348     - if your program needs 30 iterations to converge, convergence will be 
 1........2...............3..........4....................5........6..........7..........8........... 1 -3.626312956439 2 0.020251467367 3 -6.684918212787 4 0.006047301575 5 2.124000671153 6 -0.032647993975 7 -2.450835668904 8 -0.013247040961     reached in 0 day(s) 0 hour(s) 9 minute(s) 54 second(s) i.e.
 1.........2................3..........4....................5........6..........7..........8................ 1 -7.191454532077 2 0.034617924834 3 -10.549096065074 4 0.036677592181 5 1.542362876419 6 -0.063020519616 7 -2.947495326944 8 -0.013799601262     on Tue Aug 18 18:31:24 2015 (current time is Tue Aug 18 18:21:30 2015);
 1.........2...........3.........4...................5.........6............7..........8......... 1 -7.694382907043 2 0.037187706665 3 -9.232632879214 4 0.039369823231 5 1.402009406864 6 -0.065176338388 7 -2.866142980519 8 -0.013803173787  1.................2.................3..........4....................5..........6.............7..........8.......
 1.........2.............3..........4...................5.........6...........7...........8......... 1 -7.939255349020 2 0.039872560270 3 -9.190659358710 4 0.041411152505 5 1.337553047619 6 -0.067669705509 7 -2.901277283172 8 -0.013846054372  Powell iter=4 -2*LL=46541.944882756965 20 sec. 66 sec. 1 -12.242484543366 2 0.092391161272 3 -10.684956992257 4 0.060933369989 5 -2.571767476006 6 -0.023216409131 7 -4.817698692685 8 0.008460497128
 1.........2...............3...........4...................5.........6...........7...........8.................. 1 -8.175631279729 2 0.042823018333 3 -9.305335930048 4 0.043733677481 5 1.277232607434 6 -0.070126527676 7 -2.891280451710 8 -0.013891004693  1.........2..................3..........4....................5..........6.............7..........8..............Gaining to use new average direction of P0 P8 instead of biggest increase direction 3 :
 1.........2.........3..........4...................5..........6...........7..........8........ 1 -8.179052585899 2 0.042977828076 3 -9.367208273745 4 0.044117254463 5 1.279490770058 6 -0.070237634028 7 -2.879075874776 8 -0.013897363904  
 1..........2.........3..........4...................5..........6...........7..........8................ 1 -8.253572272952 2 0.044544071563 3 -9.869066527661 4 0.048217089100 5 1.293974518670 6 -0.070748184912 7 -2.797920152892 8 -0.013959307967  Powell iter=5 -2*LL=46538.155159115864 21 sec. 87 sec. 1 -12.277818683456 2 0.092782784461 3 -10.606927524558 4 0.060433498790 5 -1.636618302422 6 -0.034173907116 7 -5.415159199358 8 0.015209892785
 1..........2.........3........4....................5..........6...........7.........8........ 1 -8.300112212725 2 0.045031594170 3 -10.021881561493 4 0.050126559490 5 1.294834133145 6 -0.070710329982 7 -2.801880482750 8 -0.013983400314  1.........2..............3........4...................5.........6..............7..........8........directest= 3.559482495482, t= -1.587615025675, f1= 46538.155159115864,f2= 46537.965437599931,f3= 46541.605702231980, del= 0.135251826250
 1..........2.........3........4....................5..........6...........7.........8................ 1 -9.364842591286 2 0.057609082048 3 -13.303881826112 4 0.092894746877 5 1.299612159799 6 -0.069477088153 7 -2.845756178167 8 -0.014517900878  f1-2f2+f3= 3.829986147983, f1-f2-del= 0.054469689683, f1-f3= -3.450543116116
 1.........2.........3........4...................5..........6............7........8......... 1 -9.459278806217 2 0.058978744892 3 -13.724635612560 4 0.097163084190 5 1.309791039035 6 -0.069467801111 7 -2.836174796481 8 -0.014579105509  
 1..........2.........3........4...................5...........6...........7.........8.......... 1 -9.556637887868 2 0.060193941624 3 -13.944504362051 4 0.099328912593 5 1.303726569886 6 -0.069588078175 7 -2.798134255191 8 -0.014606692137  Powell iter=6 -2*LL=46537.965437599931 17 sec. 104 sec. 1 -12.286824634318 2 0.092796946661 3 -10.605118146544 4 0.060392081785 5 -1.601001695625 6 -0.034696856573 7 -5.445686958604 8 0.015541650236
 1...................2.........3........4...................5...........6....................7.........8....... 1 -9.570905342272 2 0.060346024093 3 -13.931313899727 4 0.099327770159 5 1.299821706241 6 -0.069473301017 7 -2.794875770321 8 -0.014605547177  1............2...............3..........4...........................5.........6.............7.................8........
 1.........2.........3........4...................5.............6...........7.........8............. 1 -9.520883114175 2 0.059763464854 3 -13.374653483904 4 0.092678715010 5 1.275219840829 6 -0.068998797247 7 -2.776665178135 8 -0.014526396877  Powell iter=7 -2*LL=46537.953896904983 21 sec. 125 sec. 1 -12.288663475348 2 0.092794258423 3 -10.602520523521 4 0.060372798332 5 -1.596765949187 6 -0.034763087057 7 -5.450260084532 8 0.015582787665
 1.........2.........3........4...................5..........6...........7........8....... 1 -9.561555245819 2 0.060332629602 3 -13.308731000292 4 0.091779861852 5 1.264797002732 6 -0.068857881687 7 -2.776086705047 8 -0.014524519683  1...........2...............3........4...................5..........6..............7............8.............Gaining to use new average direction of P0 P8 instead of biggest increase direction 4 :
 1.........2.........3........4...................5..........6...........7........8............... 1 -11.211575781710 2 0.080498860780 3 -11.530401027674 4 0.070902721121 5 0.869698481108 6 -0.064142258040 7 -2.823637771567 8 -0.014535664893  
 1.........2.........3........4...................5..........6....................7..........8........ 1 -11.324998174014 2 0.081611981532 3 -11.380418752304 4 0.068824626918 5 0.840620613321 6 -0.063969189991 7 -2.827237387442 8 -0.014527577647  Powell iter=8 -2*LL=46537.933555419499 20 sec. 145 sec. 1 -12.288754155703 2 0.092753643773 3 -10.588920461186 4 0.060230465648 5 -1.588742425574 6 -0.034884297842 7 -5.460441275653 8 0.015679980832
 1.........2.........3........4...................5...........6...........7........8........... 1 -11.340961414448 2 0.081794209722 3 -11.416704318768 4 0.069267780643 5 0.840099031177 6 -0.063909795436 7 -2.826585935627 8 -0.014532614508  1..........2................3..........4.........5...........6..............7...........8............Gaining to use new average direction of P0 P8 instead of biggest increase direction 1 :
 1...........2.............3........4....................5..........6...........7................8......................... 1 -11.340709051197 2 0.081802792120 3 -11.417067188976 4 0.069276786444 5 0.839847953978 6 -0.063869839466 7 -2.824905089650 8 -0.014529245555  
 1...........2.........3..................4.........................5..............6...........7........8...... 1 -11.342743801806 2 0.081820322457 3 -11.401632563948 4 0.069088746884 5 0.838324058123 6 -0.063852147478 7 -2.824999578005 8 -0.014525954569  Powell iter=9 -2*LL=46537.891454595432 19 sec. 164 sec. 1 -12.283266439012 2 0.092658255416 3 -10.562891684762 4 0.059948818330 5 -1.581316871784 6 -0.034987633432 7 -5.472744984969 8 0.015801808619
 1...............2...........3.................4....................5...........6..............7.............8............. 1 -11.343702985288 2 0.081793772028 3 -11.291694070746 4 0.067728250133 5 0.825213211896 6 -0.063692329913 7 -2.828162199464 8 -0.014468261950  1.....2..............3........4............5............6..............7...........8...........Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 :
 1..........2.........3........4...................5..........6...........7.............8............ 1 -11.347007977922 2 0.081799327439 3 -11.195700174078 4 0.066543230470 5 0.803767372795 6 -0.063436156563 7 -2.836735799103 8 -0.014353159098  
 1.........2.........3........4...................5..........6........7...........8............ 1 -11.376372999941 2 0.082036901055 3 -10.828388482187 4 0.062035166013 5 0.656103277942 6 -0.061609024889 7 -2.903764655306 8 -0.013485939896  Powell iter=10 -2*LL=46537.765677731819 18 sec. 182 sec. 1 -12.262794789308 2 0.092367916069 3 -10.470813624311 4 0.058882333788 5 -1.562236459514 6 -0.035239826239 7 -5.510520845667 8 0.016209203343
 1.........2.........3........4...................5..........6........7..........8............. 1 -11.500867263799 2 0.083415962204 3 -10.238876901925 4 0.054901398796 5 0.118322020012 6 -0.054917506945 7 -3.172074420152 8 -0.010140938590  1......2.......................3.......4........5............6..............7............8............Gaining to use new average direction of P0 P8 instead of biggest increase direction 8 :
 1.........2.........3........4...................5..........6........7........8............... 1 -11.844075479807 2 0.087618898636 3 -9.780906613099 4 0.049617935303 5 -1.233984603621 6 -0.038337931436 7 -3.890685546892 8 -0.001486464017  
 1.........2.........3.......4....................5..........6........7.......8........ 1 -11.994012593853 2 0.089569914764 3 -10.202480437946 4 0.054916675265 5 -1.722803656923 6 -0.032762006133 7 -4.188030904457 8 0.001766378508  Powell iter=11 -2*LL=46537.498821119196 19 sec. 201 sec. 1 -12.214937649099 2 0.091832303757 3 -10.310758734665 4 0.056891524738 5 -1.540234661352 6 -0.035490430955 7 -5.566745000929 8 0.016892295483
 1.........2.........3........4...................5..........6........7.......8........... 1 -12.257648821391 2 0.092589436636 3 -10.655804856747 4 0.060756543077 5 -2.635974111997 6 -0.022512110483 7 -4.759828309828 8 0.007772764943  1.....2..............3.......4........5.................6...............7..............8.......
 1................2.........3........4....................5...........6...........7..........8........ 1 -12.259948658248 2 0.092557004851 3 -10.637054431275 4 0.060520061618 5 -2.688023823183 6 -0.021787539620 7 -4.794442890279 8 0.008123160801  Powell iter=12 -2*LL=46537.411404609535 18 sec. 219 sec. 1 -12.203395121992 2 0.091768319083 3 -10.300995242801 4 0.056661013905 5 -1.545167229526 6 -0.035400936285 7 -5.565324661507 8 0.016938176004
 1.........2........3..................4..................5..........6...........7............8.......................... 1 -12.250208086036 2 0.092420997785 3 -10.671741983181 4 0.060966384389 5 -2.650566115409 6 -0.022247282355 7 -4.775987027684 8 0.007888300348  1............2..................3..........4............5..................6..............7.............8.....................Gaining to use new average direction of P0 P8 instead of biggest increase direction 3 :
 1.........2..........3..........4...................5..........6...............7..............8............. 1 -12.245788985912 2 0.092364984212 3 -10.672921748611 4 0.060980886736 5 -2.644615718875 6 -0.022331337562 7 -4.772958927370 8 0.007853189684  
 1............2........................3..............4...............................5...................6..................7.........8............  Powell iter=13 -2*LL=46537.410703925241 22 sec. 241 sec. 1 -12.202513270154 2 0.091761198901 3 -10.299418789414 4 0.056628413435 5 -1.545343667372 6 -0.035398382663 7 -5.565921175501 8 0.016950736226
 #Number of iterations = 34, -2 Log likelihood = 46542.395030424377  1.........2................3............4.............5..........6....................7..............8........#Number of iterations & function calls = 13 & 1694, -2 Log likelihood = 46537.410262065809
 # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...  # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
 12 -12.245240 0.092358  12  -12.2027105    0.0917637 
 13 -10.671890 0.060969  13  -10.2992383    0.0566262 
 21 -2.645345 -0.022325  21   -1.5456185   -0.0353950 
 23 -4.773317 0.007859  23   -5.5659628    0.0169512 
   
 Calculation of the hessian matrix. Wait...  Calculation of the hessian matrix. Wait...
 12345678.12.13.14.15.16.17.18.23.24.25.26.27.28.34.35.36.37.38.45.46.47.48.56.57.58.67.68.78  12345678.12.13.14.15.16.17.18.23.24.25.26.27.28.34.35.36.37.38.45.46.47.48.56.57.58.67.68.78
   
 Inverting the hessian to get the covariance matrix. Wait...  Inverting the hessian to get the covariance matrix. Wait...
   
 #Hessian matrix#  #Hessian matrix#
 2.314e+003 1.908e+005 4.106e+002 3.377e+004 -3.590e+002 -2.992e+004 -3.182e+002 -2.621e+004  2.301e+03 1.898e+05 3.980e+02 3.280e+04 -3.628e+02 -3.007e+04 -3.111e+02 -2.563e+04 
 1.908e+005 1.581e+007 3.350e+004 2.769e+006 -2.988e+004 -2.506e+006 -2.611e+004 -2.161e+006  1.898e+05 1.574e+07 3.252e+04 2.694e+06 -3.003e+04 -2.503e+06 -2.554e+04 -2.114e+06 
 4.106e+002 3.350e+004 8.125e+002 6.556e+004 -8.089e+001 -6.776e+003 3.862e+002 3.193e+004  3.980e+02 3.252e+04 8.499e+02 6.839e+04 -8.040e+01 -6.688e+03 3.773e+02 3.120e+04 
 3.377e+004 2.769e+006 6.556e+004 5.317e+006 -6.824e+003 -5.753e+005 3.190e+004 2.651e+006  3.280e+04 2.694e+06 6.839e+04 5.532e+06 -6.734e+03 -5.639e+05 3.117e+04 2.590e+06 
 -3.590e+002 -2.988e+004 -8.089e+001 -6.824e+003 4.524e+002 3.800e+004 4.993e+001 4.166e+003  -3.628e+02 -3.003e+04 -8.040e+01 -6.734e+03 4.570e+02 3.818e+04 4.994e+01 4.126e+03 
 -2.992e+004 -2.506e+006 -6.776e+003 -5.753e+005 3.800e+004 3.210e+006 4.169e+003 3.502e+005  -3.007e+04 -2.503e+06 -6.688e+03 -5.639e+05 3.818e+04 3.208e+06 4.126e+03 3.421e+05 
 -3.182e+002 -2.611e+004 3.862e+002 3.190e+004 4.993e+001 4.169e+003 1.039e+003 8.943e+004  -3.111e+02 -2.554e+04 3.773e+02 3.117e+04 4.994e+01 4.126e+03 1.024e+03 8.867e+04 
 -2.621e+004 -2.161e+006 3.193e+004 2.651e+006 4.166e+003 3.502e+005 8.943e+004 7.740e+006  -2.563e+04 -2.114e+06 3.120e+04 2.590e+06 4.126e+03 3.421e+05 8.867e+04 7.720e+06 
 # Scales (for hessian or gradient estimation)  Parameters, T and confidence intervals
 12 1.00000e-004 1.00000e-006  12  -12.2027105 T= -36.632 CI=[ -12.8689514 ;  -11.5364696]    0.0917637 T=  22.911 CI=[   0.0837533 ;    0.0997740] 
 13 1.00000e-004 1.00000e-006  13  -10.2992383 T= -18.738 CI=[ -11.3985038 ;   -9.1999728]    0.0566262 T=   8.316 CI=[   0.0430080 ;    0.0702444] 
 21 1.00000e-003 1.00000e-006  21   -1.5456185 T=  -2.259 CI=[  -2.9142844 ;   -0.1769526]   -0.0353950 T=  -4.335 CI=[  -0.0517251 ;   -0.0190649] 
 23 1.00000e-004 1.00000e-005  23   -5.5659628 T= -11.196 CI=[  -6.5602821 ;   -4.5716434]    0.0169512 T=   2.998 CI=[   0.0056422 ;    0.0282603] 
 # Covariance matrix  # Scales (for hessian or gradient estimation)
 # 121 Var(a12)  12 1.00000e-04 1.00000e-06
 # 122 Cov(b12,a12) Var(b12)  13 1.00000e-04 1.00000e-06
 #   ...  21 1.00000e-04 1.00000e-06
 # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)  23 3.00000e-04 1.00000e-06
 #121 Var(a12)  # Covariance matrix 
 #122 Cov(b12,a12) Var(b12)  # 121 Var(a12)
 #131 Cov(a13,a12) Cov(a13,b12) Var(a13)  # 122 Cov(b12,a12) Var(b12)
 #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)  #   ...
 #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)  # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
 #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)  #121 Var(a12)
 #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)  #122 Cov(b12,a12) Var(b12)
 #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)  #131 Cov(a13,a12) Cov(a13,b12) Var(a13)
 121 1.11832e-001  #132 Cov(b13,a12) Cov(b13,b12) Cov(b13,a13) Var(b13)
 122 -1.34196e-003 1.61978e-005  #211 Cov(a21,a12) Cov(a21,b12) Cov(a21,a13) Cov(a21,b13) Var(a21)
 131 -6.31135e-002 7.65687e-004 3.32706e-001  #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)
 132 7.49702e-004 -9.17551e-006 -4.08921e-003 5.05801e-005  #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)
 211 7.93255e-002 -9.47003e-004 2.83678e-002 -3.63380e-004 4.85740e-001  #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)
 212 -9.45906e-004 1.13454e-005 -3.55777e-004 4.56374e-006 -5.75682e-003 6.85863e-005  121 1.10969e-01
 231 5.35302e-002 -6.11201e-004 -1.16519e-001 1.34050e-003 -7.78502e-003 9.53787e-005 2.47205e-001  122 -1.33029e-03 1.60415e-05
 232 -6.10827e-004 7.02090e-006 1.37532e-003 -1.59782e-005 1.00595e-004 -1.23725e-006 -2.82423e-003 3.24537e-005  131 -5.53768e-02 6.77306e-04 3.02096e-01
 begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0  132 6.58106e-04 -8.12775e-06 -3.73026e-03 4.63642e-05
 prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0  211 7.59223e-02 -9.02778e-04 2.53226e-02 -3.27358e-04 4.68312e-01
 Computing stable prevalence: result on file 'plrbiaspar.txt'  212 -9.05016e-04 1.08138e-05 -3.15929e-04 4.09141e-06 -5.57262e-03 6.66682e-05
   231 5.24440e-02 -5.95206e-04 -8.93872e-02 1.00357e-03 6.06408e-03 -7.39139e-05 2.47168e-01
 #************  232 -5.95756e-04 6.80630e-06 1.05928e-03 -1.20524e-05 -6.07266e-05 7.34461e-07 -2.80315e-03 3.19737e-05
 Computing pij: result on file 'pijrbiaspar.txt'  begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0
 Computing standard deviation of one-step probabilities: result on file 'probrbiaspar.txt'  pop_based=0
 Computing matrix of variance covariance of one-step probabilities: result on file 'probcovrbiaspar.txt'  prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0
 and correlation matrix of one-step probabilities: result on file 'probcorrbiaspar.txt'  Computing period (stable) prevalence: result on file 'plrbiaspar.txt' 
 65 13-12 mu 1.4593e-002 2.3279e-002 Var 3.1491e-006 3.1424e-006 cor -0.367 cov -1.1545e-006 Eig 4.300e-006 1.991e-006 1stv 0.708 -0.706 tan -0.997  
 70 13-12 mu 1.9764e-002 3.6884e-002 Var 3.1423e-006 4.5071e-006 cor -0.389 cov -1.4654e-006 Eig 5.441e-006 2.208e-006 1stv 0.538 -0.843 tan -1.569  #************
 75 13-12 mu 2.6744e-002 5.8392e-002 Var 2.7400e-006 5.5899e-006 cor -0.431 cov -1.6874e-006 Eig 6.374e-006 1.956e-006 1stv 0.421 -0.907 tan -2.153  Computing pij: result on file 'pijrbiaspar.txt' 
 80 13-12 mu 3.6143e-002 9.2326e-002 Var 2.7975e-006 6.6150e-006 cor -0.474 cov -2.0411e-006 Eig 7.501e-006 1.912e-006 1stv 0.398 -0.917 tan -2.304  Computing standard deviation of one-step probabilities: result on file 'probrbiaspar.txt' 
 85 13-12 mu 4.8753e-002 1.4570e-001 Var 7.0638e-006 1.5184e-005 cor -0.418 cov -4.3308e-006 Eig 1.706e-005 5.188e-006 1stv 0.398 -0.918 tan -2.308  Computing matrix of variance covariance of one-step probabilities: result on file 'probcovrbiaspar.txt' 
 90 13-12 mu 6.5567e-002 2.2925e-001 Var 2.7162e-005 7.5512e-005 cor -0.361 cov -1.6336e-005 Eig 8.051e-005 2.216e-005 1stv 0.293 -0.956 tan -3.266  and correlation matrix of one-step probabilities: result on file 'probcorrbiaspar.txt' 
 95 13-12 mu 8.7780e-002 3.5907e-001 Var 9.3869e-005 3.7310e-004 cor -0.348 cov -6.5109e-005 Eig 3.875e-004 7.943e-005 1stv 0.216 -0.976 tan -4.510  65 13-12 mu 1.5972e-02 2.3367e-02 Var 3.3236e-06 3.1628e-06 cor -0.338 cov -1.0950e-06 Eig 4.341e-06 2.145e-06 1stv 0.733 -0.681 tan -0.929
 65 21-12 mu 1.9362e-001 2.3279e-002 Var 9.8495e-004 3.1424e-006 cor 0.332 cov 1.8444e-005 Eig 9.853e-004 2.796e-006 1stv 1.000 0.019 tan 0.019  70 13-12 mu 2.1166e-02 3.6913e-02 Var 3.1497e-06 4.5213e-06 cor -0.360 cov -1.3581e-06 Eig 5.357e-06 2.314e-06 1stv 0.524 -0.852 tan -1.625
 70 21-12 mu 1.7337e-001 3.6884e-002 Var 4.6316e-004 4.5071e-006 cor 0.327 cov 1.4946e-005 Eig 4.636e-004 4.021e-006 1stv 0.999 0.033 tan 0.033  75 13-12 mu 2.8027e-02 5.8265e-02 Var 2.6312e-06 5.5954e-06 cor -0.404 cov -1.5492e-06 Eig 6.257e-06 1.969e-06 1stv 0.393 -0.920 tan -2.341
 75 21-12 mu 1.5521e-001 5.8392e-002 Var 1.8818e-004 5.5899e-006 cor 0.317 cov 1.0274e-005 Eig 1.888e-004 5.014e-006 1stv 0.998 0.056 tan 0.056  80 13-12 mu 3.7067e-02 9.1858e-02 Var 2.7234e-06 6.5867e-06 cor -0.456 cov -1.9326e-06 Eig 7.387e-06 1.923e-06 1stv 0.383 -0.924 tan -2.413
 80 21-12 mu 1.3892e-001 9.2326e-002 Var 6.7930e-005 6.6150e-006 cor 0.292 cov 6.1889e-006 Eig 6.855e-005 5.997e-006 1stv 0.995 0.099 tan 0.100  85 13-12 mu 4.8930e-02 1.4455e-01 Var 7.0008e-06 1.4795e-05 cor -0.418 cov -4.2498e-06 Eig 1.666e-05 5.132e-06 1stv 0.403 -0.915 tan -2.274
 85 21-12 mu 1.2432e-001 1.4570e-001 Var 3.9651e-005 1.5184e-005 cor 0.282 cov 6.9297e-006 Eig 4.148e-005 1.336e-005 1stv 0.967 0.255 tan 0.264  90 13-12 mu 6.4406e-02 2.2681e-01 Var 2.5605e-05 7.2563e-05 cor -0.359 cov -1.5484e-05 Eig 7.721e-05 2.096e-05 1stv 0.287 -0.958 tan -3.333
 90 21-12 mu 1.1124e-001 2.2925e-001 Var 6.1556e-005 7.5512e-005 cor 0.309 cov 2.1079e-005 Eig 9.074e-005 4.633e-005 1stv 0.586 0.811 tan 1.384  95 13-12 mu 8.4408e-02 3.5434e-01 Var 8.3580e-05 3.5679e-04 cor -0.341 cov -5.8808e-05 Eig 3.689e-04 7.146e-05 1stv 0.202 -0.979 tan -4.852
 95 21-12 mu 9.9523e-002 3.5907e-001 Var 1.0665e-004 3.7310e-004 cor 0.322 cov 6.4197e-005 Eig 3.878e-004 9.199e-005 1stv 0.223 0.975 tan 4.379  65 21-12 mu 2.4815e-01 2.3367e-02 Var 1.5081e-03 3.1628e-06 cor 0.333 cov 2.3009e-05 Eig 1.509e-03 2.811e-06 1stv 1.000 0.015 tan 0.015
 65 23-12 mu 1.6400e-001 2.3279e-002 Var 4.4978e-004 3.1424e-006 cor 0.370 cov 1.3913e-005 Eig 4.502e-004 2.709e-006 1stv 1.000 0.031 tan 0.031  70 21-12 mu 2.0839e-01 3.6913e-02 Var 6.2123e-04 4.5213e-06 cor 0.332 cov 1.7587e-05 Eig 6.217e-04 4.020e-06 1stv 1.000 0.028 tan 0.028
 70 23-12 mu 1.7077e-001 3.6884e-002 Var 3.0730e-004 4.5071e-006 cor 0.393 cov 1.4627e-005 Eig 3.080e-004 3.802e-006 1stv 0.999 0.048 tan 0.048  75 21-12 mu 1.7490e-01 5.8265e-02 Var 2.2058e-04 5.5954e-06 cor 0.326 cov 1.1456e-05 Eig 2.212e-04 4.987e-06 1stv 0.999 0.053 tan 0.053
 75 23-12 mu 1.7779e-001 5.8392e-002 Var 1.8793e-004 5.5899e-006 cor 0.427 cov 1.3855e-005 Eig 1.890e-004 4.543e-006 1stv 0.997 0.075 tan 0.076  80 21-12 mu 1.4670e-01 9.1858e-02 Var 7.0767e-05 6.5867e-06 cor 0.304 cov 6.5593e-06 Eig 7.143e-05 5.923e-06 1stv 0.995 0.101 tan 0.101
 80 23-12 mu 1.8506e-001 9.2326e-002 Var 1.0070e-004 6.6150e-006 cor 0.453 cov 1.1691e-005 Eig 1.021e-004 5.184e-006 1stv 0.993 0.121 tan 0.122  85 21-12 mu 1.2299e-01 1.4455e-01 Var 3.9227e-05 1.4795e-05 cor 0.276 cov 6.6547e-06 Eig 4.092e-05 1.310e-05 1stv 0.969 0.247 tan 0.255
 85 23-12 mu 1.9259e-001 1.4570e-001 Var 5.6234e-005 1.5184e-005 cor 0.359 cov 1.0479e-005 Eig 5.875e-005 1.266e-005 1stv 0.972 0.234 tan 0.241  90 21-12 mu 1.0307e-01 2.2681e-01 Var 5.4893e-05 7.2563e-05 cor 0.289 cov 1.8261e-05 Eig 8.401e-05 4.344e-05 1stv 0.531 0.847 tan 1.595
 90 23-12 mu 2.0040e-001 2.2925e-001 Var 6.6888e-005 7.5512e-005 cor 0.260 cov 1.8491e-005 Eig 9.019e-005 5.221e-005 1stv 0.622 0.783 tan 1.260  95 21-12 mu 8.6343e-02 3.5434e-01 Var 8.2297e-05 3.5679e-04 cor 0.302 cov 5.1723e-05 Eig 3.662e-04 7.287e-05 1stv 0.179 0.984 tan 5.489
 95 23-12 mu 2.0849e-001 3.5907e-001 Var 1.4702e-004 3.7310e-004 cor 0.246 cov 5.7499e-005 Eig 3.869e-004 1.332e-004 1stv 0.233 0.972 tan 4.172  65 23-12 mu 1.3378e-01 2.3367e-02 Var 3.1221e-04 3.1628e-06 cor 0.364 cov 1.1447e-05 Eig 3.126e-04 2.739e-06 1stv 0.999 0.037 tan 0.037
 65 21-13 mu 1.9362e-001 1.4593e-002 Var 9.8495e-004 3.1491e-006 cor 0.050 cov 2.7780e-006 Eig 9.850e-004 3.141e-006 1stv 1.000 0.003 tan 0.003  70 23-12 mu 1.4596e-01 3.6913e-02 Var 2.3686e-04 4.5213e-06 cor 0.388 cov 1.2697e-05 Eig 2.376e-04 3.829e-06 1stv 0.999 0.054 tan 0.054
 70 21-13 mu 1.7337e-001 1.9764e-002 Var 4.6316e-004 3.1423e-006 cor 0.040 cov 1.5163e-006 Eig 4.632e-004 3.137e-006 1stv 1.000 0.003 tan 0.003  75 23-12 mu 1.5914e-01 5.8265e-02 Var 1.6142e-04 5.5954e-06 cor 0.423 cov 1.2709e-05 Eig 1.625e-04 4.566e-06 1stv 0.997 0.081 tan 0.081
 75 21-13 mu 1.5521e-001 2.6744e-002 Var 1.8818e-004 2.7400e-006 cor 0.025 cov 5.6057e-007 Eig 1.882e-004 2.738e-006 1stv 1.000 0.003 tan 0.003  80 23-12 mu 1.7343e-01 9.1858e-02 Var 9.6292e-05 6.5867e-06 cor 0.449 cov 1.1306e-05 Eig 9.769e-05 5.184e-06 1stv 0.992 0.123 tan 0.124
 80 21-13 mu 1.3892e-001 3.6143e-002 Var 6.7930e-005 2.7975e-006 cor 0.023 cov 3.1182e-007 Eig 6.793e-005 2.796e-006 1stv 1.000 0.005 tan 0.005  85 23-12 mu 1.8890e-01 1.4455e-01 Var 5.6832e-05 1.4795e-05 cor 0.356 cov 1.0309e-05 Eig 5.922e-05 1.240e-05 1stv 0.974 0.226 tan 0.232
 85 21-13 mu 1.2432e-001 4.8753e-002 Var 3.9651e-005 7.0638e-006 cor 0.081 cov 1.3491e-006 Eig 3.971e-005 7.008e-006 1stv 0.999 0.041 tan 0.041  90 23-12 mu 2.0566e-01 2.2681e-01 Var 6.4965e-05 7.2563e-05 cor 0.255 cov 1.7485e-05 Eig 8.666e-05 5.087e-05 1stv 0.628 0.779 tan 1.241
 90 21-13 mu 1.1124e-001 6.5567e-002 Var 6.1556e-005 2.7162e-005 cor 0.109 cov 4.4499e-006 Eig 6.212e-005 2.660e-005 1stv 0.992 0.126 tan 0.127  95 23-12 mu 2.2383e-01 3.5434e-01 Var 1.5120e-04 3.5679e-04 cor 0.238 cov 5.5313e-05 Eig 3.707e-04 1.373e-04 1stv 0.244 0.970 tan 3.969
 95 21-13 mu 9.9523e-002 8.7780e-002 Var 1.0665e-004 9.3869e-005 cor 0.105 cov 1.0550e-005 Eig 1.126e-004 8.793e-005 1stv 0.871 0.491 tan 0.563  65 21-13 mu 2.4815e-01 1.5972e-02 Var 1.5081e-03 3.3236e-06 cor 0.047 cov 3.3259e-06 Eig 1.508e-03 3.316e-06 1stv 1.000 0.002 tan 0.002
 65 23-13 mu 1.6400e-001 1.4593e-002 Var 4.4978e-004 3.1491e-006 cor -0.471 cov -1.7732e-005 Eig 4.505e-004 2.446e-006 1stv 0.999 -0.040 tan -0.040  70 21-13 mu 2.0839e-01 2.1166e-02 Var 6.2123e-04 3.1497e-06 cor 0.037 cov 1.6580e-06 Eig 6.212e-04 3.145e-06 1stv 1.000 0.003 tan 0.003
 70 23-13 mu 1.7077e-001 1.9764e-002 Var 3.0730e-004 3.1423e-006 cor -0.504 cov -1.5670e-005 Eig 3.081e-004 2.337e-006 1stv 0.999 -0.051 tan -0.051  75 21-13 mu 1.7490e-01 2.8027e-02 Var 2.2058e-04 2.6312e-06 cor 0.024 cov 5.6775e-07 Eig 2.206e-04 2.630e-06 1stv 1.000 0.003 tan 0.003
 75 23-13 mu 1.7779e-001 2.6744e-002 Var 1.8793e-004 2.7400e-006 cor -0.560 cov -1.2702e-005 Eig 1.888e-004 1.873e-006 1stv 0.998 -0.068 tan -0.068  80 21-13 mu 1.4670e-01 3.7067e-02 Var 7.0767e-05 2.7234e-06 cor 0.024 cov 3.3537e-07 Eig 7.077e-05 2.722e-06 1stv 1.000 0.005 tan 0.005
 80 23-13 mu 1.8506e-001 3.6143e-002 Var 1.0070e-004 2.7975e-006 cor -0.594 cov -9.9768e-006 Eig 1.017e-004 1.791e-006 1stv 0.995 -0.100 tan -0.101  85 21-13 mu 1.2299e-01 4.8930e-02 Var 3.9227e-05 7.0008e-06 cor 0.078 cov 1.2860e-06 Eig 3.928e-05 6.950e-06 1stv 0.999 0.040 tan 0.040
 85 23-13 mu 1.9259e-001 4.8753e-002 Var 5.6234e-005 7.0638e-006 cor -0.519 cov -1.0337e-005 Eig 5.832e-005 4.979e-006 1stv 0.980 -0.198 tan -0.202  90 21-13 mu 1.0307e-01 6.4406e-02 Var 5.4893e-05 2.5605e-05 cor 0.100 cov 3.7654e-06 Eig 5.537e-05 2.513e-05 1stv 0.992 0.126 tan 0.127
 90 23-13 mu 2.0040e-001 6.5567e-002 Var 6.6888e-005 2.7162e-005 cor -0.462 cov -1.9685e-005 Eig 7.499e-005 1.906e-005 1stv 0.925 -0.381 tan -0.412  95 21-13 mu 8.6343e-02 8.4408e-02 Var 8.2297e-05 8.3580e-05 cor 0.097 cov 8.0750e-06 Eig 9.104e-05 7.484e-05 1stv 0.679 0.735 tan 1.083
 95 23-13 mu 2.0849e-001 8.7780e-002 Var 1.4702e-004 9.3869e-005 cor -0.418 cov -4.9150e-005 Eig 1.763e-004 6.457e-005 1stv 0.859 -0.512 tan -0.596  65 23-13 mu 1.3378e-01 1.5972e-02 Var 3.1221e-04 3.3236e-06 cor -0.409 cov -1.3182e-05 Eig 3.128e-04 2.762e-06 1stv 0.999 -0.043 tan -0.043
 65 23-21 mu 1.6400e-001 1.9362e-001 Var 4.4978e-004 9.8495e-004 cor -0.044 cov -2.9476e-005 Eig 9.866e-004 4.482e-004 1stv 0.055 -0.998 tan -18.211  70 23-13 mu 1.4596e-01 2.1166e-02 Var 2.3686e-04 3.1497e-06 cor -0.453 cov -1.2362e-05 Eig 2.375e-04 2.498e-06 1stv 0.999 -0.053 tan -0.053
 70 23-21 mu 1.7077e-001 1.7337e-001 Var 3.0730e-004 4.6316e-004 cor -0.040 cov -1.4909e-005 Eig 4.646e-004 3.059e-004 1stv 0.094 -0.996 tan -10.549  75 23-13 mu 1.5914e-01 2.8027e-02 Var 1.6142e-04 2.6312e-06 cor -0.528 cov -1.0874e-05 Eig 1.622e-04 1.890e-06 1stv 0.998 -0.068 tan -0.068
 75 23-21 mu 1.7779e-001 1.5521e-001 Var 1.8793e-004 1.8818e-004 cor -0.035 cov -6.5384e-006 Eig 1.946e-004 1.815e-004 1stv 0.700 -0.714 tan -1.020  80 23-13 mu 1.7343e-01 3.7067e-02 Var 9.6292e-05 2.7234e-06 cor -0.585 cov -9.4784e-06 Eig 9.724e-05 1.773e-06 1stv 0.995 -0.100 tan -0.100
 80 23-21 mu 1.8506e-001 1.3892e-001 Var 1.0070e-004 6.7930e-005 cor -0.035 cov -2.8818e-006 Eig 1.010e-004 6.768e-005 1stv 0.996 -0.087 tan -0.087  85 23-13 mu 1.8890e-01 4.8930e-02 Var 5.6832e-05 7.0008e-06 cor -0.513 cov -1.0241e-05 Eig 5.885e-05 4.978e-06 1stv 0.981 -0.194 tan -0.198
 85 23-21 mu 1.9259e-001 1.2432e-001 Var 5.6234e-005 3.9651e-005 cor -0.059 cov -2.7820e-006 Eig 5.669e-005 3.920e-005 1stv 0.987 -0.161 tan -0.163  90 23-13 mu 2.0566e-01 6.4406e-02 Var 6.4965e-05 2.5605e-05 cor -0.434 cov -1.7707e-05 Eig 7.176e-05 1.881e-05 1stv 0.934 -0.358 tan -0.384
 90 23-21 mu 2.0040e-001 1.1124e-001 Var 6.6888e-005 6.1556e-005 cor -0.083 cov -5.3389e-006 Eig 7.019e-005 5.825e-005 1stv 0.851 -0.526 tan -0.618  95 23-13 mu 2.2383e-01 8.4408e-02 Var 1.5120e-04 8.3580e-05 cor -0.363 cov -4.0852e-05 Eig 1.704e-04 6.436e-05 1stv 0.905 -0.426 tan -0.470
 95 23-21 mu 2.0849e-001 9.9523e-002 Var 1.4702e-004 1.0665e-004 cor -0.079 cov -9.8535e-006 Eig 1.493e-004 1.044e-004 1stv 0.974 -0.225 tan -0.231  65 23-21 mu 1.3378e-01 2.4815e-01 Var 3.1221e-04 1.5081e-03 cor -0.015 cov -1.0342e-05 Eig 1.508e-03 3.121e-04 1stv 0.009 -1.000 tan -115.645
 Computing Total LEs with variances: file 'trbiaspar.txt'  70 23-21 mu 1.4596e-01 2.0839e-01 Var 2.3686e-04 6.2123e-04 cor -0.013 cov -4.8257e-06 Eig 6.213e-04 2.368e-04 1stv 0.013 -1.000 tan -79.662
 Computing Health Expectancies: result on file 'erbiaspar.txt'  75 23-21 mu 1.5914e-01 1.7490e-01 Var 1.6142e-04 2.2058e-04 cor -0.014 cov -2.7177e-06 Eig 2.207e-04 1.613e-04 1stv 0.046 -0.999 tan -21.813
 Computing Variance-covariance of DFLEs: file 'vrbiaspar.txt'  80 23-21 mu 1.7343e-01 1.4670e-01 Var 9.6292e-05 7.0767e-05 cor -0.029 cov -2.3931e-06 Eig 9.651e-05 7.054e-05 1stv 0.996 -0.093 tan -0.093
 65|66|67|68|69|70|71|72|73|74|75|76|77|78|79|80|81|82|83|84|85|86|87|88|89|90|91|92|93|94|95|  85 23-21 mu 1.8890e-01 1.2299e-01 Var 5.6832e-05 3.9227e-05 cor -0.061 cov -2.8869e-06 Eig 5.729e-05 3.877e-05 1stv 0.987 -0.158 tan -0.160
 Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file 'prmorprev1-stablbased-rbiaspar.txt'  90 23-21 mu 2.0566e-01 1.0307e-01 Var 6.4965e-05 5.4893e-05 cor -0.062 cov -3.6726e-06 Eig 6.616e-05 5.370e-05 1stv 0.951 -0.310 tan -0.326
 End of Imach  95 23-21 mu 2.2383e-01 8.6343e-02 Var 1.5120e-04 8.2297e-05 cor -0.040 cov -4.5038e-06 Eig 1.515e-04 8.200e-05 1stv 0.998 -0.065 tan -0.065
 Local time at start Thu Feb 09 13:51:49 2006  Computing Health Expectancies: result on file 'erbiaspar.txt' 
   65|66|67|68|69|70|71|72|73|74|75|76|77|78|79|80|81|82|83|84|85|86|87|88|89|90|91|92|93|94|95|
 Local time at end   Thu Feb 09 14:44:03 2006  Computing Total Life expectancies with their standard errors: file 'trbiaspar.txt' 
   Computing Health Expectancies and standard errors: result on file 'stderbiaspar.txt' 
 Total time used 0 day(s) 0 hour(s) 52 minute(s) 14 second(s)  Computing Covar. of Health Expectancies: result on file 'cverbiaspar.txt' 
 Total time was 3134 Sec.  Computing Variance-covariance of DFLEs: file 'vrbiaspar.txt' 
   65|66|67|68|69|70|71|72|73|74|75|76|77|78|79|80|81|82|83|84|85|86|87|88|89|90|91|92|93|94|95|
   Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file 'prmorprev1-stablbased-rbiaspar.txt' 
   End of Imach
   Local time at start Tue Aug 18 18:20:44 2015
   
   Local time at end   Tue Aug 18 18:26:33 2015
   
   Total time used 0 day(s) 0 hour(s) 5 minute(s) 49 second(s)
   Total time was 349 Sec.
Removed from v.1.3  
changed lines
  Added in v.1.5

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