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version 1.2, 2005/10/25 11:53:26 version 1.4, 2015/08/04 07:15:48
Line 1 Line 1
 Log filename:biaspar.log  Log filename:biaspar.log
   
 Imach version 0.98, September 2005, INED-EUROREVES   Imach version 0.98q2, April 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=../../bin/  pathimach=Z:\imachcvs\NetBeans\imach\src\
 pathtot=biaspar.imach  pathtot=Z:\imachcvs\NetBeans\imach\html\doc\biaspar.imach
  path=/Users/brouard/bin/html/doc    path=Z:\imachcvs\NetBeans\imach\html\doc\
  optionfile=biaspar.imach   optionfile=biaspar.imach
  optionfilext=imach   optionfilext=imach
  optionfilefiname=biaspar   optionfilefiname='biaspar'
 Local time (at start): Mon Oct 24 14:51:36 2005  Compiled with: Intel ICC/ICPC Microsoft Visual Studio for Windows (x64 and x86)  32-bitThe programm is not running under WOW64 (i.e probably on a 64bit Windows).
 # Imach version 0.97b, June 2004, INED-EUROREVES  Local time (at start): Tue May 05 11:13:23 2015
 title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4  # Imach version 0.98q2, April 2015, INED-EUROREVES
 ftol=1.000000e-08 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0  title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
 model=.  ftol=1.000000e-008 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0
   model=1+age+.
 # Parameters  # Parameters
 11 0.000000 0.000000  11 0.000000 0.000000
 12 0.000000 0.000000  12 0.000000 0.000000
 21 0.000000 0.000000  21 0.000000 0.000000
 22 0.000000 0.000000  22 0.000000 0.000000
 # Scales  # Scales
 12 0.000000e+00 0.000000e+00  12 0.000000e+000 0.000000e+000
 13 0.000000e+00 0.000000e+00  13 0.000000e+000 0.000000e+000
 21 0.000000e+00 0.000000e+00  21 0.000000e+000 0.000000e+000
 23 0.000000e+00 0.000000e+00  23 0.000000e+000 0.000000e+000
 #covariance matrix#  #covariance matrix#
 121 0.00000e+00  121 0.00000e+000
 122 0.00000e+00 0.00000e+00  122 0.00000e+000 0.00000e+000
 131 0.00000e+00 0.00000e+00 0.00000e+00  131 0.00000e+000 0.00000e+000 0.00000e+000
 132 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00  132 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  211 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  212 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  231 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  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
   
 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 Max=74 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=429817.002238171520 0 sec. 0 sec. 1 0.000000000000 2 0.000000000000 3 0.000000000000 4 0.000000000000 5 0.000000000000 6 0.000000000000 7 0.000000000000 8 0.000000000000
 Considering the time needed for this last iteration #1: 5 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) 45 second(s) i.e.     - if your program needs 10 iterations to converge, convergence will be
    on Mon Oct 24 14:52:26 2005 (current time is Mon Oct 24 14:51:41 2005);     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 May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
    reached in 0 day(s) 0 hour(s) 1 minute(s) 35 second(s) i.e.     - if your program needs 20 iterations to converge, convergence will be
    on Mon Oct 24 14:53:16 2005 (current time is Mon Oct 24 14:51:41 2005);     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 May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
    reached in 0 day(s) 0 hour(s) 2 minute(s) 25 second(s) i.e.     - if your program needs 30 iterations to converge, convergence will be
    on Mon Oct 24 14:54:06 2005 (current time is Mon Oct 24 14:51:41 2005);     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 8.981830530002 2 0.016741746069 3 -0.434889243858 4 0.000506810742 5 3.199437430882 6 -0.000133684844 7 -0.817356206705 8 0.000414700052     on Tue May 05 11:13:34 2015 (current time is Tue May 05 11:13:34 2015);
   1.....2................3..........4.....................5.....6............7........8..............................Gaining to use new average direction of P0 P8 instead of biggest increase direction 5 :
 Considering the time needed for this last iteration #2: 167 seconds,  
    - if your program needs 10 iterations to converge, convergence will be   Powell iter=2 -2*LL=61164.969498491329 14 sec. 0 sec. 1 10.361177425153 2 -0.000405752275 3 -0.426051135866 4 0.000411058449 5 3.199377281172 6 -0.000133628129 7 -0.817385555710 8 0.000414645460
    reached in 0 day(s) 0 hour(s) 22 minute(s) 16 second(s) i.e.  
    on Mon Oct 24 15:16:44 2005 (current time is Mon Oct 24 14:54:28 2005);  Considering the time needed for this last iteration #2: 14 seconds,
    - if your program needs 20 iterations to converge, convergence will be      - if your program needs 10 iterations to converge, convergence will be
    reached in 0 day(s) 0 hour(s) 50 minute(s) 6 second(s) i.e.     reached in 0 day(s) 0 hour(s) 1 minute(s) 52 second(s) i.e.
    on Mon Oct 24 15:44:34 2005 (current time is Mon Oct 24 14:54:28 2005);     on Tue May 05 11:15:40 2015 (current time is Tue May 05 11:13:48 2015);
    - if your program needs 30 iterations to converge, convergence will be      - if your program needs 20 iterations to converge, convergence will be
    reached in 0 day(s) 1 hour(s) 17 minute(s) 56 second(s) i.e.     reached in 0 day(s) 0 hour(s) 4 minute(s) 12 second(s) i.e.
    on Mon Oct 24 16:12:24 2005 (current time is Mon Oct 24 14:54:28 2005);     on Tue May 05 11:18:00 2015 (current time is Tue May 05 11:13:48 2015);
 1...........2.....................3..........4..................5.................6................7..........8................. 1 -2.281804650756 2 0.011363116543 3 -3.509368523070 4 -0.009363669124 5 2.547946952776 6 -0.006890085832 7 -1.246147647315 8 -0.012650266592     - if your program needs 30 iterations to converge, convergence will be
      reached in 0 day(s) 0 hour(s) 6 minute(s) 32 second(s) i.e.
 Considering the time needed for this last iteration #3: 168 seconds,     on Tue May 05 11:20:20 2015 (current time is Tue May 05 11:13:48 2015);
    - if your program needs 10 iterations to converge, convergence will be   1............2....................3......4..................5..................6.................7..........8........
    reached in 0 day(s) 0 hour(s) 19 minute(s) 36 second(s) i.e.  Powell iter=3 -2*LL=58792.325287399166 43 sec. 0 sec. 1 5.025320473019 2 -0.001271522649 3 -2.292075301862 4 0.005675436950 5 3.064920310602 6 -0.003614340923 7 -1.082612744376 8 -0.006929410302
    on Mon Oct 24 15:16:52 2005 (current time is Mon Oct 24 14:57:16 2005);  
    - if your program needs 20 iterations to converge, convergence will be   Considering the time needed for this last iteration #3: 43 seconds,
    reached in 0 day(s) 0 hour(s) 47 minute(s) 36 second(s) i.e.     - if your program needs 10 iterations to converge, convergence will be
    on Mon Oct 24 15:44:52 2005 (current time is Mon Oct 24 14:57:16 2005);     reached in 0 day(s) 0 hour(s) 5 minute(s) 1 second(s) i.e.
    - if your program needs 30 iterations to converge, convergence will be      on Tue May 05 11:19:32 2015 (current time is Tue May 05 11:14:31 2015);
    reached in 0 day(s) 1 hour(s) 15 minute(s) 36 second(s) i.e.     - if your program needs 20 iterations to converge, convergence will be
    on Mon Oct 24 16:12:52 2005 (current time is Mon Oct 24 14:57:16 2005);     reached in 0 day(s) 0 hour(s) 12 minute(s) 11 second(s) i.e.
 1........2.................3......4....................5........6....................7..........8........... 1 -2.181985096129 2 0.011465880658 3 -4.732211491614 4 -0.008150559262 5 2.446857218233 6 -0.008350202510 7 -1.338377277831 8 -0.012700875334     on Tue May 05 11:26:42 2015 (current time is Tue May 05 11:14:31 2015);
 1........2................3..........4...................5.........6...................7..........8....................... 1 -3.070133451540 2 0.018029818494 3 -6.179866175818 4 0.001935898306 5 2.212009143103 6 -0.027638638041 7 -2.308991353528 8 -0.013146236293     - if your program needs 30 iterations to converge, convergence will be
 1........2...............3..........4....................5........6..........7..........8........... 1 -3.626502091197 2 0.020253035211 3 -6.684342507080 4 0.006057014157 5 2.123782483735 6 -0.032645573113 7 -2.451363857789 8 -0.013247681665     reached in 0 day(s) 0 hour(s) 19 minute(s) 21 second(s) i.e.
 1.........2................3..........4....................5........6..........7..........8................ 1 -7.192534317905 2 0.034624192693 3 -10.542205375135 4 0.036666250158 5 1.541870117892 6 -0.063020402356 7 -2.948321308915 8 -0.013800448747     on Tue May 05 11:33:52 2015 (current time is Tue May 05 11:14:31 2015);
 1.........2...........3.........4...................5.........6............7..........8......... 1 -7.695451703104 2 0.037194072253 3 -9.230251380079 4 0.039357187891 5 1.401560774610 6 -0.065175085233 7 -2.866616489626 8 -0.013803976993  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 -7.940212354544 2 0.039881323201 3 -9.188932954744 4 0.041398021268 5 1.337148135578 6 -0.067668349287 7 -2.901457910987 8 -0.013846848839  
 1.........2...............3...........4...................5.........6...........7...........8.................. 1 -8.176431117205 2 0.042833923530 3 -9.304312328468 4 0.043720071441 5 1.276877306765 6 -0.070125167890 7 -2.891118730399 8 -0.013891797083  Powell iter=4 -2*LL=51671.511989744839 13 sec. 0 sec. 1 -0.738171836654 2 -0.005095967053 3 -6.249885480035 4 0.018850231372 5 2.760427678775 6 0.002137535586 7 -0.810125973911 8 -0.019962106000
 1.........2.........3..........4...................5..........6...........7..........8........ 1 -8.179934732156 2 0.042989046121 3 -9.366297995893 4 0.044103933684 5 1.279115322988 6 -0.070236292085 7 -2.878917655261 8 -0.013898162887  1........2................3..........4..................5.................6................7.................8..........
 1..........2.........3..........4...................5..........6...........7..........8................ 1 -8.254585369807 2 0.044560894850 3 -9.868936732048 4 0.048207926200 5 1.293598356293 6 -0.070738582582 7 -2.797523985671 8 -0.013960095547  Powell iter=5 -2*LL=51564.973406501369 13 sec. 0 sec. 1 -0.640102693049 2 -0.004671488059 3 -6.355728607893 4 0.019354535332 5 2.794272826941 6 2.309115769305 7 1.799068527323 8 -4.254984576420
 1..........2.........3........4....................5..........6...........7.........8........ 1 -8.301539191723 2 0.045052305123 3 -10.022804846924 4 0.050130364363 5 1.294397184532 6 -0.070701522071 7 -2.801520599321 8 -0.013984314301  1........2.............3.........4..................5.................6.................7.................8..........
 1..........2.........3........4....................5..........6...........7.........8................ 1 -9.366193466838 2 0.057625368748 3 -13.302743404812 4 0.092879588144 5 1.298194338761 6 -0.069458719670 7 -2.845793360462 8 -0.014517392773  Powell iter=6 -2*LL=51512.620168158559 12 sec. 0 sec. 1 -0.707671793492 2 -0.004043840434 3 -6.235710935103 4 0.019694131082 5 2.772348672077 6 4.883902697129 7 4.421901023083 8 -1.637606955042
 1.........2.........3........4...................5..........6....................7........8......... 1 -9.460968984193 2 0.058999781798 3 -13.723675221324 4 0.097150765005 5 1.308211839961 6 -0.069448653825 7 -2.836187353406 8 -0.014578542733  1........2.............3...................4..................5.................6...............7.................8..........
 1..........2.........3........4...................5..................6...........7.........8.......... 1 -9.558132338168 2 0.060212099576 3 -13.942989603808 4 0.099311940480 5 1.302080125134 6 -0.069569168801 7 -2.798255305774 8 -0.014606029284  Powell iter=7 -2*LL=51497.973086223668 13 sec. 0 sec. 1 -0.748745600049 2 -0.003548201851 3 -6.280610560550 4 0.020192016944 5 2.776035786301 6 6.512481518851 7 7.040490669592 8 0.979620465528
 1......................2.........3........4...................5...........6......................7.........8....... 1 -9.572161154893 2 0.060361245477 3 -13.929855173962 4 0.099310593326 5 1.298209054802 6 -0.069455399052 7 -2.795021923613 8 -0.014604875644  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 -9.521658848729 2 0.059772467720 3 -13.378117941017 4 0.092719757070 5 1.273997949530 6 -0.068987502478 7 -2.776883693013 8 -0.014526513051  
 1.........2.........3........4...................5..........6...........7........8....... 1 -9.561633452062 2 0.060333173985 3 -13.313444344667 4 0.091835856342 5 1.263732018431 6 -0.068847034820 7 -2.776256237312 8 -0.014524728372  Powell iter=8 -2*LL=51469.726224868631 15 sec. 0 sec. 1 -0.833574313562 2 -0.002535454468 3 -6.362935045791 4 0.021191220259 5 2.782030172908 6 6.608886952762 7 12.367555241042 8 6.303685589096
 1.........2.........3........4...................5..........6..........7........8............... 1 -11.211177020816 2 0.080500005299 3 -11.537258013108 4 0.070983535362 5 0.867292040233 6 -0.064099822721 7 -2.823227325066 8 -0.014537371296  1........2.............3..........4..................5.......6....................7..................8...............
 1.........2.........3........4...................5..........6...........7........8........ 1 -11.325506728779 2 0.081619385497 3 -11.381316058273 4 0.068836396199 5 0.837536179182 6 -0.063930299171 7 -2.827086277323 8 -0.014528843884  Powell iter=9 -2*LL=51460.597638570471 14 sec. 0 sec. 1 -0.819597388038 2 -0.001927771721 3 -6.366922190899 4 0.021608735010 5 2.788633894031 6 6.715764216787 7 11.126986364695 8 6.426838468958
 1.........2.........3........4......................5..........6...........7........8........... 1 -11.341676688719 2 0.081802878533 3 -11.416589557874 4 0.069266621366 5 0.836897464135 6 -0.063871223031 7 -2.826483099116 8 -0.014533771831  1........2.............3.........4..................5..........6.........7.....................8..................................Gaining to use new average direction of P0 P8 instead of biggest increase direction 2 :
 1.....................2............3.........4....................5.................6...........7.........8........................ 1 -11.341583321858 2 0.081813100925 3 -11.417800327848 4 0.069285874759 5 0.836665337138 6 -0.063830701725 7 -2.824804546159 8 -0.014530472468  
 1.................2.................3...........4........................5.............6..........7........8...... 1 -11.343601882043 2 0.081830552688 3 -11.402331269733 4 0.069097487762 5 0.835136563121 6 -0.063812998546 7 -2.824904482410 8 -0.014527159992  Powell iter=10 -2*LL=51437.479784084469 17 sec. 0 sec. 1 -0.893774665883 2 -0.000533885740 3 -6.429458703340 4 0.022581850422 5 2.770188936631 6 6.798189075056 7 12.797974488056 8 6.485900015773
 1..............2.........3.........4...................5............6....................7..........8............. 1 -11.344108280017 2 0.081798969097 3 -11.289229702040 4 0.067698422410 5 0.821725110822 6 -0.063651576307 7 -2.828095083276 8 -0.014467808496  1................2..............3.........4..................5..............6...................7..................8..............................
 1..........2.........3........4...................5..........6........7..........8............ 1 -11.346884442242 2 0.081798944160 3 -11.190636099860 4 0.066481588797 5 0.799901616320 6 -0.063393443465 7 -2.836778391487 8 -0.014350132999  Powell iter=11 -2*LL=51420.437001909391 42 sec. 0 sec. 1 -0.950697588560 2 -0.000527484177 3 -6.481470925397 4 0.022923641821 5 2.752623141516 6 6.798366227492 7 11.189519918460 8 6.148112871371
 1.........2.........3........4...................5..........6........7...........8............ 1 -11.374550257257 2 0.082018917627 3 -10.813465698425 4 0.061852349060 5 0.649704022353 6 -0.061545565813 7 -2.904867373668 8 -0.013465068949  1...................2.......................
 1.........2.........3........4...................5..........6........7..........8............. 1 -11.497299557475 2 0.083382209466 3 -10.214520395463 4 0.054601478423 5 0.106321936126 6 -0.054800998817 7 -3.176294913042 8 -0.010075948370  
 1.........2.........3........4...................5..........6........7........8............... 1 -11.841632967445 2 0.087600665563 3 -9.764976982488 4 0.049419193834 5 -1.249466269151 6 -0.038183184473 7 -3.898766321772 8 -0.001377882469  
 1.........2.........3.......4....................5..........6........7.......8........ 1 -11.994458882977 2 0.089578157478 3 -10.199298537104 4 0.054876691393 5 -1.732627878219 6 -0.032656820997 7 -4.194520508882 8 0.001844755037  
 1.........2.........3........4...................5..........6........7.......8......... 1 -12.258447292779 2 0.092595784728 3 -10.661249514758 4 0.060826936582 5 -2.635282790368 6 -0.022513797598 7 -4.762328938804 8 0.007796187842  
 1..........2....................3........4...................5...........6...........7..........8........ 1 -12.259301101757 2 0.092547594732 3 -10.639466323537 4 0.060551352623 5 -2.684448479366 6 -0.021830603905 7 -4.795109470365 8 0.008128524946  
 1..........2........3..........4....................5............6...........7............8.................. 1 -12.250033234263 2 0.092418316868 3 -10.671177063275 4 0.060960172903 5 -2.649386951711 6 -0.022262295734 7 -4.777729640313 8 0.007908146901  
 1...........2..........3..........4....................5............6............7..............8................. 1 -12.245968180439 2 0.092366839432 3 -10.671951574439 4 0.060969690741 5 -2.644234071218 6 -0.022336213263 7 -4.775102360558 8 0.007877895201  
 1...........2..........................3...................4.........................5......................6...................7............8..................  
 #Number of iterations = 34, -2 Log likelihood = 46542.378402526519   
 # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...  
 12 -12.245504 0.092361   
 13 -10.670953 0.060958   
 21 -2.645034 -0.022329   
 23 -4.775501 0.007884   
   
 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  
   
 Inverting the hessian to get the covariance matrix. Wait...  
   
 #Hessian matrix#  
 2.314e+03 1.908e+05 4.106e+02 3.377e+04 -3.590e+02 -2.993e+04 -3.182e+02 -2.620e+04   
 1.908e+05 1.581e+07 3.349e+04 2.769e+06 -2.988e+04 -2.505e+06 -2.611e+04 -2.161e+06   
 4.106e+02 3.349e+04 8.126e+02 6.556e+04 -8.087e+01 -6.783e+03 3.862e+02 3.192e+04   
 3.377e+04 2.769e+06 6.556e+04 5.317e+06 -6.823e+03 -5.756e+05 3.190e+04 2.651e+06   
 -3.590e+02 -2.988e+04 -8.087e+01 -6.823e+03 4.524e+02 3.800e+04 4.993e+01 4.166e+03   
 -2.993e+04 -2.505e+06 -6.783e+03 -5.756e+05 3.800e+04 3.210e+06 4.173e+03 3.500e+05   
 -3.182e+02 -2.611e+04 3.862e+02 3.190e+04 4.993e+01 4.173e+03 1.039e+03 8.943e+04   
 -2.620e+04 -2.161e+06 3.192e+04 2.651e+06 4.166e+03 3.500e+05 8.943e+04 7.740e+06   
 # Scales (for hessian or gradient estimation)  
 12 1.00000e-04 1.00000e-06  
 13 1.00000e-04 1.00000e-06  
 21 1.00000e-03 1.00000e-06  
 23 1.00000e-04 1.00000e-05  
 # Covariance matrix   
 # 121 Var(a12)  
 # 122 Cov(b12,a12) Var(b12)  
 #   ...  
 # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)  
 #121 Var(a12)  
 #122 Cov(b12,a12) Var(b12)  
 #131 Cov(a13,a12) Cov(a13,b12) Var(a13)  
 #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)  
 #212 Cov(b21,a12) Cov(b21,b12) Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)  
 #231 Cov(a23,a12) Cov(a23,b12) Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)  
 #232 Cov(b23,a12) Cov(b23,b12) Cov(b23,a13) Cov(b23,b13) Cov(b23,a21) Cov(b23,b21) Cov(b23,a23) Var(b23)  
 121 1.13401e-01  
 122 -1.36090e-03 1.64264e-05  
 131 -6.89393e-02 8.35716e-04 3.31264e-01  
 132 8.21021e-04 -1.00329e-05 -4.07026e-03 5.03323e-05  
 211 7.49121e-02 -8.92959e-04 1.95088e-02 -2.56008e-04 4.75336e-01  
 212 -8.93092e-04 1.06987e-05 -2.49893e-04 3.28027e-06 -5.63203e-03 6.70896e-05  
 231 5.58947e-02 -6.39542e-04 -1.16708e-01 1.34217e-03 -9.40960e-04 1.38147e-05 2.47512e-01  
 232 -6.38539e-04 7.35309e-06 1.37680e-03 -1.59888e-05 2.13084e-05 -2.92279e-07 -2.82744e-03 3.24870e-05  
 begin-prev-date=1/1/1984 end-prev-date=1/6/1988 mov_average=0  
 prevforecast=0 starting-proj-date=1/1/2000 final-proj-date=1/1/2000 mobil_average=0  
 Computing stable prevalence: result on file 'plrbiaspar.txt'   
   
 #************  
 Computing pij: result on file 'pijrbiaspar.txt'   
 Computing standard deviation of one-step probabilities: result on file 'probrbiaspar.txt'   
 Computing matrix of variance covariance of one-step probabilities: result on file 'probcovrbiaspar.txt'   
 and correlation matrix of one-step probabilities: result on file 'probcorrbiaspar.txt'   
 65 13-12 mu 1.4597e-02 2.3277e-02 Var 3.1453e-06 3.1816e-06 cor -0.393 cov -1.2429e-06 Eig 4.407e-06 1.920e-06 1stv 0.702 -0.712 tan -1.015  
 70 13-12 mu 1.9767e-02 3.6881e-02 Var 3.1424e-06 4.5584e-06 cor -0.413 cov -1.5617e-06 Eig 5.565e-06 2.136e-06 1stv 0.542 -0.841 tan -1.551  
 75 13-12 mu 2.6747e-02 5.8389e-02 Var 2.7455e-06 5.6383e-06 cor -0.448 cov -1.7608e-06 Eig 6.471e-06 1.913e-06 1stv 0.427 -0.904 tan -2.116  
 80 13-12 mu 3.6146e-02 9.2323e-02 Var 2.8030e-06 6.6320e-06 cor -0.477 cov -2.0574e-06 Eig 7.528e-06 1.907e-06 1stv 0.399 -0.917 tan -2.297  
 85 13-12 mu 4.8754e-02 1.4570e-01 Var 7.0382e-06 1.5211e-05 cor -0.422 cov -4.3687e-06 Eig 1.711e-05 5.143e-06 1stv 0.398 -0.917 tan -2.305  
 90 13-12 mu 6.5564e-02 2.2924e-01 Var 2.7005e-05 7.6142e-05 cor -0.376 cov -1.7053e-05 Eig 8.148e-05 2.167e-05 1stv 0.299 -0.954 tan -3.195  
 95 13-12 mu 8.7773e-02 3.5907e-01 Var 9.3321e-05 3.7748e-04 cor -0.369 cov -6.9221e-05 Eig 3.934e-04 7.736e-05 1stv 0.225 -0.974 tan -4.336  
 65 21-12 mu 1.9364e-01 2.3277e-02 Var 9.6637e-04 3.1816e-06 cor 0.317 cov 1.7554e-05 Eig 9.667e-04 2.862e-06 1stv 1.000 0.018 tan 0.018  
 70 21-12 mu 1.7338e-01 3.6881e-02 Var 4.5522e-04 4.5584e-06 cor 0.314 cov 1.4302e-05 Eig 4.557e-04 4.105e-06 1stv 0.999 0.032 tan 0.032  
 75 21-12 mu 1.5521e-01 5.8389e-02 Var 1.8567e-04 5.6383e-06 cor 0.307 cov 9.9468e-06 Eig 1.862e-04 5.090e-06 1stv 0.998 0.055 tan 0.055  
 80 21-12 mu 1.3892e-01 9.2323e-02 Var 6.7602e-05 6.6320e-06 cor 0.290 cov 6.1458e-06 Eig 6.822e-05 6.019e-06 1stv 0.995 0.099 tan 0.100  
 85 21-12 mu 1.2432e-01 1.4570e-01 Var 3.9595e-05 1.5211e-05 cor 0.281 cov 6.8846e-06 Eig 4.140e-05 1.340e-05 1stv 0.967 0.254 tan 0.263  
 90 21-12 mu 1.1124e-01 2.2924e-01 Var 6.0749e-05 7.6142e-05 cor 0.298 cov 2.0238e-05 Eig 9.010e-05 4.679e-05 1stv 0.568 0.823 tan 1.450  
 95 21-12 mu 9.9518e-02 3.5907e-01 Var 1.0464e-04 3.7748e-04 cor 0.306 cov 6.0852e-05 Eig 3.904e-04 9.169e-05 1stv 0.208 0.978 tan 4.697  
 65 23-12 mu 1.6392e-01 2.3277e-02 Var 4.4973e-04 3.1816e-06 cor 0.380 cov 1.4384e-05 Eig 4.502e-04 2.719e-06 1stv 0.999 0.032 tan 0.032  
 70 23-12 mu 1.7070e-01 3.6881e-02 Var 3.0743e-04 4.5584e-06 cor 0.402 cov 1.5054e-05 Eig 3.082e-04 3.812e-06 1stv 0.999 0.050 tan 0.050  
 75 23-12 mu 1.7774e-01 5.8389e-02 Var 1.8810e-04 5.6383e-06 cor 0.435 cov 1.4152e-05 Eig 1.892e-04 4.547e-06 1stv 0.997 0.077 tan 0.077  
 80 23-12 mu 1.8502e-01 9.2323e-02 Var 1.0082e-04 6.6320e-06 cor 0.456 cov 1.1795e-05 Eig 1.023e-04 5.178e-06 1stv 0.992 0.122 tan 0.123  
 85 23-12 mu 1.9258e-01 1.4570e-01 Var 5.6251e-05 1.5211e-05 cor 0.358 cov 1.0482e-05 Eig 5.877e-05 1.269e-05 1stv 0.972 0.234 tan 0.241  
 90 23-12 mu 2.0041e-01 2.2924e-01 Var 6.6788e-05 7.6142e-05 cor 0.266 cov 1.8971e-05 Eig 9.100e-05 5.193e-05 1stv 0.617 0.787 tan 1.276  
 95 23-12 mu 2.0853e-01 3.5907e-01 Var 1.4685e-04 3.7748e-04 cor 0.256 cov 6.0241e-05 Eig 3.923e-04 1.321e-04 1stv 0.238 0.971 tan 4.074  
 65 21-13 mu 1.9364e-01 1.4597e-02 Var 9.6637e-04 3.1453e-06 cor 0.029 cov 1.6142e-06 Eig 9.664e-04 3.143e-06 1stv 1.000 0.002 tan 0.002  
 70 21-13 mu 1.7338e-01 1.9767e-02 Var 4.5522e-04 3.1424e-06 cor 0.021 cov 7.7634e-07 Eig 4.552e-04 3.141e-06 1stv 1.000 0.002 tan 0.002  
 75 21-13 mu 1.5521e-01 2.6747e-02 Var 1.8567e-04 2.7455e-06 cor 0.010 cov 2.1716e-07 Eig 1.857e-04 2.745e-06 1stv 1.000 0.001 tan 0.001  
 80 21-13 mu 1.3892e-01 3.6146e-02 Var 6.7602e-05 2.8030e-06 cor 0.018 cov 2.4908e-07 Eig 6.760e-05 2.802e-06 1stv 1.000 0.004 tan 0.004  
 85 21-13 mu 1.2432e-01 4.8754e-02 Var 3.9595e-05 7.0382e-06 cor 0.079 cov 1.3170e-06 Eig 3.965e-05 6.985e-06 1stv 0.999 0.040 tan 0.040  
 90 21-13 mu 1.1124e-01 6.5564e-02 Var 6.0749e-05 2.7005e-05 cor 0.099 cov 4.0068e-06 Eig 6.122e-05 2.654e-05 1stv 0.993 0.116 tan 0.117  
 95 21-13 mu 9.9518e-02 8.7773e-02 Var 1.0464e-04 9.3321e-05 cor 0.091 cov 8.9980e-06 Eig 1.096e-04 8.835e-05 1stv 0.875 0.483 tan 0.552  
 65 23-13 mu 1.6392e-01 1.4597e-02 Var 4.4973e-04 3.1453e-06 cor -0.473 cov -1.7779e-05 Eig 4.504e-04 2.439e-06 1stv 0.999 -0.040 tan -0.040  
 70 23-13 mu 1.7070e-01 1.9767e-02 Var 3.0743e-04 3.1424e-06 cor -0.506 cov -1.5725e-05 Eig 3.082e-04 2.332e-06 1stv 0.999 -0.051 tan -0.052  
 75 23-13 mu 1.7774e-01 2.6747e-02 Var 1.8810e-04 2.7455e-06 cor -0.561 cov -1.2754e-05 Eig 1.890e-04 1.872e-06 1stv 0.998 -0.068 tan -0.068  
 80 23-13 mu 1.8502e-01 3.6146e-02 Var 1.0082e-04 2.8030e-06 cor -0.595 cov -1.0008e-05 Eig 1.018e-04 1.792e-06 1stv 0.995 -0.101 tan -0.101  
 85 23-13 mu 1.9258e-01 4.8754e-02 Var 5.6251e-05 7.0382e-06 cor -0.519 cov -1.0318e-05 Eig 5.833e-05 4.963e-06 1stv 0.980 -0.197 tan -0.201  
 90 23-13 mu 2.0041e-01 6.5564e-02 Var 6.6788e-05 2.7005e-05 cor -0.461 cov -1.9572e-05 Eig 7.480e-05 1.899e-05 1stv 0.925 -0.379 tan -0.409  
 95 23-13 mu 2.0853e-01 8.7773e-02 Var 1.4685e-04 9.3321e-05 cor -0.418 cov -4.8891e-05 Eig 1.758e-04 6.435e-05 1stv 0.860 -0.510 tan -0.593  
 65 23-21 mu 1.6392e-01 1.9364e-01 Var 4.4973e-04 9.6637e-04 cor -0.027 cov -1.7471e-05 Eig 9.670e-04 4.491e-04 1stv 0.034 -0.999 tan -29.605  
 70 23-21 mu 1.7070e-01 1.7338e-01 Var 3.0743e-04 4.5522e-04 cor -0.023 cov -8.6175e-06 Eig 4.557e-04 3.069e-04 1stv 0.058 -0.998 tan -17.208  
 75 23-21 mu 1.7774e-01 1.5521e-01 Var 1.8810e-04 1.8567e-04 cor -0.021 cov -3.9354e-06 Eig 1.910e-04 1.828e-04 1stv 0.805 -0.594 tan -0.738  
 80 23-21 mu 1.8502e-01 1.3892e-01 Var 1.0082e-04 6.7602e-05 cor -0.028 cov -2.2822e-06 Eig 1.010e-04 6.745e-05 1stv 0.998 -0.068 tan -0.068  
 85 23-21 mu 1.9258e-01 1.2432e-01 Var 5.6251e-05 3.9595e-05 cor -0.059 cov -2.8004e-06 Eig 5.671e-05 3.914e-05 1stv 0.987 -0.161 tan -0.164  
 90 23-21 mu 2.0041e-01 1.1124e-01 Var 6.6788e-05 6.0749e-05 cor -0.076 cov -4.8520e-06 Eig 6.948e-05 5.805e-05 1stv 0.874 -0.486 tan -0.556  
 95 23-21 mu 2.0853e-01 9.9518e-02 Var 1.4685e-04 1.0464e-04 cor -0.064 cov -7.9663e-06 Eig 1.483e-04 1.032e-04 1stv 0.984 -0.179 tan -0.182  
 Computing Total LEs with variances: file 'trbiaspar.txt'   
 Computing Health Expectancies: result on file 'erbiaspar.txt'   
 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 Mon Oct 24 14:51:36 2005  
   
 Local time at end   Mon Oct 24 16:19:18 2005  
   
 Total time used 0 day(s) 1 hour(s) 27 minute(s) 42 second(s)  
 Total time was 5262 Sec.  
   
Removed from v.1.2  
changed lines
  Added in v.1.4

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