--- imach/html/doc/biaspar.log	2005/10/25 11:53:26	1.2
+++ imach/html/doc/biaspar.log	2006/02/09 15:20:33	1.3
@@ -1,257 +1,257 @@
-Log filename:biaspar.log
-
-Imach version 0.98, September 2005, INED-EUROREVES 
-$Revision: 1.2 $ $Date: 2005/10/25 11:53:26 $
-Enter the parameter file name: 
-pathimach=../../bin/
-pathtot=biaspar.imach
- path=/Users/brouard/bin/html/doc 
- optionfile=biaspar.imach
- optionfilext=imach
- optionfilefiname=biaspar
-Local time (at start): Mon Oct 24 14:51:36 2005
+Log filename:biaspar.log
+
+Imach version 0.98b, January 2006, INED-EUROREVES 
+$Revision: 1.3 $ $Date: 2006/02/09 15:20:33 $
+Enter the parameter file name: 
+pathimach=C:\Program Files\IMaCh\bin\
+pathtot=C:\Program Files\IMaCh\doc\biaspar.imach
+ path=C:\Program Files\IMaCh\doc\ 
+ optionfile=biaspar.imach
+ optionfilext=imach
+ optionfilefiname=biaspar
+Local time (at start): Thu Feb 09 13:51:49 2006
 # Imach version 0.97b, June 2004, INED-EUROREVES 
-title=1st_example datafile=data1.txt lastobs=8600 firstpass=1 lastpass=4
-ftol=1.000000e-08 stepm=1 ncovcol=2 nlstate=2 ndeath=1 maxwav=4 mle=1 weight=0
-model=.
+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
+model=.
 # Parameters
-11 0.000000 0.000000
-12 0.000000 0.000000
-21 0.000000 0.000000
-22 0.000000 0.000000
+11 0.000000 0.000000
+12 0.000000 0.000000
+21 0.000000 0.000000
+22 0.000000 0.000000
 # Scales
-12 0.000000e+00 0.000000e+00
-13 0.000000e+00 0.000000e+00
-21 0.000000e+00 0.000000e+00
-23 0.000000e+00 0.000000e+00
+12 0.000000e+000 0.000000e+000
+13 0.000000e+000 0.000000e+000
+21 0.000000e+000 0.000000e+000
+23 0.000000e+000 0.000000e+000
 #covariance matrix#
-121 0.00000e+00
-122 0.00000e+00 0.00000e+00
-131 0.00000e+00 0.00000e+00 0.00000e+00
-132 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
-211 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
-212 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00 0.00000e+00
-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+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
-
-Delay (in months) between two waves Min=1 Max=74 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
-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
- 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 
-   reached in 0 day(s) 0 hour(s) 0 minute(s) 45 second(s) i.e.
-   on Mon Oct 24 14:52:26 2005 (current time is Mon Oct 24 14:51:41 2005);
-   - if your program needs 20 iterations to converge, convergence will be 
-   reached in 0 day(s) 0 hour(s) 1 minute(s) 35 second(s) i.e.
-   on Mon Oct 24 14:53:16 2005 (current time is Mon Oct 24 14:51:41 2005);
-   - if your program needs 30 iterations to converge, convergence will be 
-   reached in 0 day(s) 0 hour(s) 2 minute(s) 25 second(s) i.e.
-   on Mon Oct 24 14:54:06 2005 (current time is Mon Oct 24 14:51:41 2005);
-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
-
-Considering the time needed for this last iteration #2: 167 seconds,
-   - if your program needs 10 iterations to converge, convergence will be 
-   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);
-   - if your program needs 20 iterations to converge, convergence will be 
-   reached in 0 day(s) 0 hour(s) 50 minute(s) 6 second(s) i.e.
-   on Mon Oct 24 15:44:34 2005 (current time is Mon Oct 24 14:54:28 2005);
-   - if your program needs 30 iterations to converge, convergence will be 
-   reached in 0 day(s) 1 hour(s) 17 minute(s) 56 second(s) i.e.
-   on Mon Oct 24 16:12:24 2005 (current time is Mon Oct 24 14:54:28 2005);
-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
-
-Considering the time needed for this last iteration #3: 168 seconds,
-   - if your program needs 10 iterations to converge, convergence will be 
-   reached in 0 day(s) 0 hour(s) 19 minute(s) 36 second(s) i.e.
-   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 
-   reached in 0 day(s) 0 hour(s) 47 minute(s) 36 second(s) i.e.
-   on Mon Oct 24 15:44:52 2005 (current time is Mon Oct 24 14:57:16 2005);
-   - if your program needs 30 iterations to converge, convergence will be 
-   reached in 0 day(s) 1 hour(s) 15 minute(s) 36 second(s) i.e.
-   on Mon Oct 24 16:12:52 2005 (current time is Mon Oct 24 14:57:16 2005);
-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
-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
-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
-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
-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......... 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
-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 -8.254585369807 2 0.044560894850 3 -9.868936732048 4 0.048207926200 5 1.293598356293 6 -0.070738582582 7 -2.797523985671 8 -0.013960095547
-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 -9.366193466838 2 0.057625368748 3 -13.302743404812 4 0.092879588144 5 1.298194338761 6 -0.069458719670 7 -2.845793360462 8 -0.014517392773
-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 -9.558132338168 2 0.060212099576 3 -13.942989603808 4 0.099311940480 5 1.302080125134 6 -0.069569168801 7 -2.798255305774 8 -0.014606029284
-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............. 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
-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 -11.325506728779 2 0.081619385497 3 -11.381316058273 4 0.068836396199 5 0.837536179182 6 -0.063930299171 7 -2.827086277323 8 -0.014528843884
-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........................ 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
-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 -11.346884442242 2 0.081798944160 3 -11.190636099860 4 0.066481588797 5 0.799901616320 6 -0.063393443465 7 -2.836778391487 8 -0.014350132999
-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.........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.
+121 0.00000e+000
+122 0.00000e+000 0.00000e+000
+131 0.00000e+000 0.00000e+000 0.00000e+000
+132 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
+211 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
+212 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000 0.00000e+000
+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+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
+
+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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
+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
+ 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: 2 seconds,
+   - if your program needs 10 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 0 minute(s) 18 second(s) i.e.
+   on Thu Feb 09 13:52:09 2006 (current time is Thu Feb 09 13:51:51 2006);
+   - if your program needs 20 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 0 minute(s) 38 second(s) i.e.
+   on Thu Feb 09 13:52:29 2006 (current time is Thu Feb 09 13:51:51 2006);
+   - if your program needs 30 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 0 minute(s) 58 second(s) i.e.
+   on Thu Feb 09 13:52:49 2006 (current time is Thu Feb 09 13:51:51 2006);
+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
+
+Considering the time needed for this last iteration #2: 96 seconds,
+   - 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.
+   on Thu Feb 09 14:06:15 2006 (current time is Thu Feb 09 13:53:27 2006);
+   - if your program needs 20 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 28 minute(s) 48 second(s) i.e.
+   on Thu Feb 09 14:22:15 2006 (current time is Thu Feb 09 13:53:27 2006);
+   - if your program needs 30 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 44 minute(s) 48 second(s) i.e.
+   on Thu Feb 09 14:38:15 2006 (current time is Thu Feb 09 13:53:27 2006);
+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
+
+Considering the time needed for this last iteration #3: 101 seconds,
+   - 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.
+   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 
+   reached in 0 day(s) 0 hour(s) 28 minute(s) 37 second(s) i.e.
+   on Thu Feb 09 14:23:45 2006 (current time is Thu Feb 09 13:55:08 2006);
+   - if your program needs 30 iterations to converge, convergence will be 
+   reached in 0 day(s) 0 hour(s) 45 minute(s) 27 second(s) i.e.
+   on Thu Feb 09 14:40:35 2006 (current time is Thu Feb 09 13:55:08 2006);
+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
+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
+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
+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
+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 -7.939255349020 2 0.039872560270 3 -9.190659358710 4 0.041411152505 5 1.337553047619 6 -0.067669705509 7 -2.901277283172 8 -0.013846054372
+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........ 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
+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................ 1 -9.364842591286 2 0.057609082048 3 -13.303881826112 4 0.092894746877 5 1.299612159799 6 -0.069477088153 7 -2.845756178167 8 -0.014517900878
+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
+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 -9.520883114175 2 0.059763464854 3 -13.374653483904 4 0.092678715010 5 1.275219840829 6 -0.068998797247 7 -2.776665178135 8 -0.014526396877
+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............... 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
+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......................... 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
+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............ 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
+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............... 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
+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 -12.259948658248 2 0.092557004851 3 -10.637054431275 4 0.060520061618 5 -2.688023823183 6 -0.021787539620 7 -4.794442890279 8 0.008123160801
+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............. 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............
+#Number of iterations = 34, -2 Log likelihood = 46542.395030424377 
+# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
+12 -12.245240 0.092358 
+13 -10.671890 0.060969 
+21 -2.645345 -0.022325 
+23 -4.773317 0.007859 
+
+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+003 1.908e+005 4.106e+002 3.377e+004 -3.590e+002 -2.992e+004 -3.182e+002 -2.621e+004 
+1.908e+005 1.581e+007 3.350e+004 2.769e+006 -2.988e+004 -2.506e+006 -2.611e+004 -2.161e+006 
+4.106e+002 3.350e+004 8.125e+002 6.556e+004 -8.089e+001 -6.776e+003 3.862e+002 3.193e+004 
+3.377e+004 2.769e+006 6.556e+004 5.317e+006 -6.824e+003 -5.753e+005 3.190e+004 2.651e+006 
+-3.590e+002 -2.988e+004 -8.089e+001 -6.824e+003 4.524e+002 3.800e+004 4.993e+001 4.166e+003 
+-2.992e+004 -2.506e+006 -6.776e+003 -5.753e+005 3.800e+004 3.210e+006 4.169e+003 3.502e+005 
+-3.182e+002 -2.611e+004 3.862e+002 3.190e+004 4.993e+001 4.169e+003 1.039e+003 8.943e+004 
+-2.621e+004 -2.161e+006 3.193e+004 2.651e+006 4.166e+003 3.502e+005 8.943e+004 7.740e+006 
+# Scales (for hessian or gradient estimation)
+12 1.00000e-004 1.00000e-006
+13 1.00000e-004 1.00000e-006
+21 1.00000e-003 1.00000e-006
+23 1.00000e-004 1.00000e-005
+# 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 1.11832e-001
+122 -1.34196e-003 1.61978e-005
+131 -6.31135e-002 7.65687e-004 3.32706e-001
+132 7.49702e-004 -9.17551e-006 -4.08921e-003 5.05801e-005
+211 7.93255e-002 -9.47003e-004 2.83678e-002 -3.63380e-004 4.85740e-001
+212 -9.45906e-004 1.13454e-005 -3.55777e-004 4.56374e-006 -5.75682e-003 6.85863e-005
+231 5.35302e-002 -6.11201e-004 -1.16519e-001 1.34050e-003 -7.78502e-003 9.53787e-005 2.47205e-001
+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
+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 1.4593e-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
+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
+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
+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
+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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 23-21 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 23-21 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 23-21 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 23-21 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 23-21 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 23-21 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 23-21 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
+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 Thu Feb 09 13:51:49 2006
+
+Local time at end   Thu Feb 09 14:44:03 2006
+
+Total time used 0 day(s) 0 hour(s) 52 minute(s) 14 second(s)
+Total time was 3134 Sec.