takeover.bids.case: Takeover bids data.
In CountsEPPM: Mean and Variance Modeling of Count Data
Description
Usage
Format
Details
Source
References
Examples
Description
Data of the number of bids received by 126 U.S. firms that were targets of tender offers from 1978 to 1985.
Usage
1
data("takeover.bids.case")
Format
A data frame with 126 observations on the following 12 variables.
DOCNOa numeric vector
WEEKSa numeric vector
NUMBIDSa numeric vector
BIDPREMa numeric vector
INSTHOLDa numeric vector
SIZEa numeric vector
LEGLRESTa numeric vector
REALRESTa numeric vector
FINRESTa numeric vector
REGULATNa numeric vector
WHTKNGHTa numeric vector
SIZESQa numeric vector
Details
Data originally from Jaggia and Thosar (1993) and used as an example in Cameron and Trivedi (2013) and Saez-Castillo and Conde-Sanchez (2013).
Source
Stata data file obtained from A.C. Cameron's webpage
http://cameron.econ.ucdavis.edu/.
References
Cameron, A.C., Trivedi, P.K. (2013). Regression Analysis of Count Data. Cambridge University Press, second edition.
Jaggia, S., Thosar, S. (1993). Multiple Bids as a Consequence of Target Management Resistance.
Review of Quantitative Finance and Accounting, 447-457.
Saez-Castillo, A.J., Conde-Sanchez, A. (2013). A hyper-Poisson regression model for overdispersed and underdispersed count data.
Computational Statistics and Data Analysis, 61, 148-157.doi: 10.1016/j.csda.2012.12.009
Examples
1
2
Example output
DOCNO WEEKS NUMBIDS TAKEOVER BIDPREM INSTHOLD SIZE LEGLREST REALREST
1 78001 23.571 2 1 1.190497 0.136 0.766760 1 0
2 78005 13.571 0 1 1.036000 0.134 0.162503 0 0
3 78015 5.000 1 1 1.403412 0.002 0.120489 1 0
4 78016 7.429 1 1 1.504455 0.181 0.072300 1 0
5 78028 8.857 1 1 1.380736 0.329 0.189118 1 0
6 78031 6.429 3 1 1.400069 0.188 0.154217 1 0
7 78033 13.571 2 1 1.181691 0.319 0.460355 0 0
8 78037 14.857 1 1 1.322560 0.123 0.276814 0 0
9 78039 20.714 1 1 1.650588 0.379 0.228950 0 0
10 78041 41.429 0 1 1.356060 0.343 0.914039 1 1
11 78042 2.857 1 1 1.305793 0.395 0.230777 0 0
12 78043 7.714 2 1 1.472298 0.174 0.107286 1 0
13 79008 14.429 2 1 1.387000 0.006 0.037003 1 0
14 79015 8.286 1 1 2.066366 0.060 0.308104 1 0
15 79017 7.714 2 1 1.333636 0.152 0.423673 0 0
16 79032 14.286 1 1 1.614583 0.038 0.113908 0 0
17 79033 8.286 3 1 1.349378 0.061 0.180093 1 0
18 79034 20.429 2 1 1.322247 0.112 0.551584 0 0
19 79036 10.000 2 1 1.402218 0.329 0.223570 0 0
20 80001 13.143 1 1 1.536418 0.081 0.080982 0 0
21 80002 24.429 3 1 1.510465 0.081 0.135537 0 0
22 80004 16.714 1 1 1.530601 0.087 0.111916 0 0
23 80008 7.286 2 1 1.319529 0.084 0.749821 1 1
24 80011 19.571 4 1 0.953461 0.299 1.299397 1 0
25 80014 10.286 1 1 1.573161 0.000 0.052537 1 0
26 80015 9.714 1 1 1.445622 0.080 0.035321 0 0
27 80016 6.714 1 1 1.419429 0.297 0.119377 0 0
28 80019 5.714 1 1 1.438874 0.079 0.104623 0 0
29 80020 17.000 4 1 1.335253 0.373 0.207560 1 0
30 80024 8.429 1 1 1.209008 0.211 0.221637 0 0
31 80026 7.286 2 1 1.217107 0.000 0.030686 0 1
32 80030 13.571 1 1 1.673279 0.272 0.424543 1 0
33 81001 11.143 4 1 1.587993 0.116 0.076668 1 0
34 81003 4.000 1 1 1.365418 0.126 2.965952 0 0
35 81004 5.143 1 1 1.679737 0.415 1.764889 1 1
36 81006 14.857 10 1 1.303152 0.496 11.036300 1 1
37 81008 7.714 1 1 1.394373 0.001 0.024125 0 0
38 81010 4.714 1 1 1.428554 0.197 2.010382 0 0
39 81011 12.429 1 1 1.389614 0.117 0.061078 0 0
40 81014 8.857 1 1 1.396612 0.069 0.107059 0 1
41 81015 11.000 1 1 1.745144 0.141 0.292953 1 0
42 81016 21.429 2 1 1.755294 0.060 0.120224 1 0
43 81017 9.714 1 1 1.246452 0.189 0.215708 1 0
44 81020 5.143 2 1 1.491770 0.373 0.953882 1 0
45 81024 21.714 1 1 1.890381 0.320 0.320775 1 0
46 81028 5.714 2 1 1.430947 0.485 5.043089 1 1
47 81030 6.857 1 1 1.304395 0.035 0.050246 1 0
48 81031 10.000 1 1 1.277942 0.048 0.083523 1 0
49 82001 4.143 1 1 1.373276 0.060 0.440406 0 1
50 82006 11.286 3 1 1.342380 0.322 0.680758 1 0
51 82007 10.571 1 1 1.319894 0.239 0.608149 1 0
52 82015 10.000 2 1 1.904547 0.080 0.067855 0 0
53 82016 14.714 4 1 1.374170 0.358 6.048500 1 1
54 82022 4.143 1 1 1.754313 0.476 0.229478 0 0
55 82023 18.286 3 1 1.351873 0.152 0.076379 0 0
56 82024 26.857 1 1 1.458766 0.576 1.120939 1 1
57 82025 7.000 1 1 1.305535 0.223 0.104418 0 0
58 82027 14.000 3 1 1.602093 0.253 3.218500 1 0
59 82031 4.857 2 1 1.045617 0.050 0.056570 1 0
60 82033 25.857 2 1 1.419652 0.140 0.047079 1 0
61 82034 7.143 0 1 1.355982 0.022 0.049640 0 0
62 82037 7.000 3 1 1.296421 0.076 0.120998 0 0
63 82038 7.143 0 1 1.402657 0.348 3.711206 0 1
64 82039 6.429 1 1 1.313242 0.580 0.524077 1 0
65 82040 8.857 6 1 1.294054 0.106 0.407735 0 0
66 83008 14.857 2 1 1.362922 0.065 0.162966 0 0
67 83009 10.286 2 1 1.210732 0.179 0.229662 0 0
68 83010 11.429 1 1 1.434098 0.233 2.832909 0 0
69 83011 5.000 2 1 1.421253 0.026 0.133306 0 0
70 83012 6.571 1 1 1.508683 0.576 0.190389 0 0
71 83013 7.571 1 1 1.334118 0.134 0.018447 1 0
72 83014 7.000 5 1 1.160266 0.375 2.193173 1 0
73 83015 38.000 3 1 1.275455 0.000 0.266395 0 1
74 83016 10.000 6 1 1.143672 0.050 0.090863 1 0
75 83017 8.286 1 1 1.127000 0.121 2.413504 0 0
76 83018 39.571 2 1 1.201213 0.177 0.162984 0 0
77 83019 6.429 1 1 1.404000 0.271 0.089406 0 0
78 83020 5.857 1 1 1.393225 0.173 0.534593 0 0
79 83021 19.571 2 1 1.298451 0.259 0.123048 0 0
80 84002 5.857 3 1 1.294463 0.207 9.924488 0 0
81 84003 7.000 1 1 1.261674 0.045 0.188814 0 0
82 84004 7.571 1 1 1.058623 0.201 0.525307 0 0
83 84009 18.429 2 1 1.213127 0.403 20.964001 1 0
84 84012 5.714 1 1 1.208205 0.126 0.069824 0 0
85 84013 15.286 1 1 1.633168 0.214 22.169001 0 0
86 84014 5.714 3 1 1.174125 0.071 0.086045 0 0
87 84017 12.429 3 1 1.281251 0.385 0.689141 0 0
88 84019 3.571 2 1 1.130940 0.072 0.215535 0 0
89 84022 4.286 1 1 1.206380 0.904 0.312848 1 0
90 84027 5.143 2 1 0.942675 0.203 0.949399 1 0
91 84028 8.143 1 1 1.397086 0.317 0.128793 0 0
92 84029 19.286 1 1 1.493163 0.411 0.063375 1 0
93 84030 6.000 1 1 1.320655 0.474 1.562195 1 1
94 84032 14.571 1 1 1.154000 0.000 0.017722 0 0
95 84034 3.143 0 1 1.391765 0.382 0.221153 1 0
96 84035 6.143 1 1 1.314540 0.486 2.880077 0 1
97 84037 9.000 0 1 1.584640 0.529 0.339681 0 0
98 84039 8.857 1 1 1.384925 0.198 0.022135 0 0
99 84041 37.714 1 1 1.038503 0.000 0.880029 0 1
100 84048 5.429 1 1 1.227943 0.000 0.090916 0 0
101 84053 6.857 1 1 1.491344 0.474 0.402572 1 0
102 84057 5.286 2 1 1.098285 0.463 6.388277 0 0
103 84058 4.571 1 1 1.208790 0.574 0.490398 1 1
104 84060 4.857 1 1 1.300976 0.364 0.229110 0 0
105 85006 15.857 2 1 1.113146 0.072 0.079583 0 0
106 85009 6.714 2 1 1.198550 0.642 0.884122 0 0
107 85011 5.000 1 1 1.416697 0.439 4.000699 1 1
108 85013 6.143 1 1 1.434406 0.463 0.084553 0 0
109 85016 10.143 1 1 1.316467 0.526 1.416800 0 0
110 85018 6.571 0 1 1.219000 0.328 0.516489 0 1
111 85023 19.286 0 1 1.233214 0.419 2.532800 1 1
112 85024 3.857 2 1 1.249007 0.427 1.453418 1 1
113 85025 18.143 1 1 1.237732 0.348 0.288937 0 0
114 85026 7.429 1 1 1.202640 0.461 0.939445 0 0
115 85027 5.000 1 1 1.033141 0.170 0.353301 0 0
116 85033 12.143 1 1 1.188000 0.163 0.038863 0 0
117 85035 16.429 2 1 1.176587 0.437 0.150459 1 0
118 85041 11.714 7 1 1.130624 0.621 2.311365 1 1
119 85042 14.286 2 1 1.223625 0.618 0.375493 0 0
120 85043 20.000 4 1 1.083759 0.529 1.159328 1 1
121 85046 6.000 2 1 1.241615 0.388 0.271522 0 0
122 85048 6.000 4 1 1.445402 0.422 0.935300 0 0
123 85050 25.286 3 1 1.282115 0.513 0.525706 1 0
124 85051 31.000 2 1 1.436627 0.144 0.174257 1 0
125 85052 6.286 0 1 1.272000 0.361 0.642904 0 1
126 85059 10.000 1 1 1.032875 0.442 3.475080 1 0
FINREST REGULATN WHTKNGHT SIZESQ CONSTANT
1 0 0 1 0.587921 1
2 0 0 0 0.026407 1
3 0 1 1 0.014518 1
4 0 0 0 0.005227 1
5 0 1 0 0.035766 1
6 0 0 1 0.023783 1
7 0 1 1 0.211927 1
8 0 1 0 0.076626 1
9 0 0 0 0.052418 1
10 0 1 0 0.835467 1
11 0 0 0 0.053258 1
12 0 1 1 0.011510 1
13 0 0 1 0.001369 1
14 0 0 1 0.094928 1
15 0 1 1 0.179499 1
16 0 0 0 0.012975 1
17 0 0 1 0.032433 1
18 0 0 1 0.304245 1
19 0 0 1 0.049984 1
20 0 0 0 0.006558 1
21 0 1 0 0.018370 1
22 0 0 1 0.012525 1
23 0 0 1 0.562232 1
24 0 1 1 1.688433 1
25 0 1 1 0.002760 1
26 0 0 1 0.001248 1
27 0 0 1 0.014251 1
28 0 0 0 0.010946 1
29 0 1 1 0.043081 1
30 0 1 0 0.049123 1
31 0 0 1 0.000942 1
32 0 0 1 0.180237 1
33 1 0 1 0.005878 1
34 0 0 0 8.796871 1
35 1 0 1 3.114833 1
36 0 1 1 121.799911 1
37 0 0 0 0.000582 1
38 0 0 0 4.041636 1
39 0 0 1 0.003731 1
40 0 0 1 0.011462 1
41 0 0 0 0.085821 1
42 0 1 1 0.014454 1
43 0 0 1 0.046530 1
44 0 1 1 0.909891 1
45 0 1 0 0.102897 1
46 0 1 1 25.432745 1
47 0 0 1 0.002525 1
48 0 1 1 0.006976 1
49 0 0 0 0.193957 1
50 0 1 1 0.463431 1
51 0 0 0 0.369845 1
52 0 1 1 0.004604 1
53 0 1 1 36.584354 1
54 0 0 0 0.052660 1
55 0 0 1 0.005834 1
56 0 0 1 1.256504 1
57 0 0 0 0.010903 1
58 0 0 1 10.358742 1
59 0 0 0 0.003200 1
60 0 0 0 0.002216 1
61 0 1 0 0.002464 1
62 0 0 1 0.014641 1
63 1 1 0 13.773049 1
64 1 0 1 0.274657 1
65 0 0 1 0.166248 1
66 1 0 1 0.026558 1
67 0 0 1 0.052745 1
68 0 1 0 8.025374 1
69 0 0 1 0.017770 1
70 1 0 0 0.036248 1
71 0 0 1 0.000340 1
72 0 0 1 4.810008 1
73 0 0 1 0.070966 1
74 0 0 1 0.008256 1
75 0 1 1 5.825001 1
76 0 0 1 0.026564 1
77 0 0 0 0.007993 1
78 0 0 0 0.285790 1
79 0 0 0 0.015141 1
80 0 0 0 98.495461 1
81 0 1 0 0.035651 1
82 1 0 1 0.275947 1
83 0 1 1 439.489319 1
84 0 0 0 0.004875 1
85 0 1 0 491.464600 1
86 0 0 1 0.007404 1
87 0 1 0 0.474915 1
88 0 0 0 0.046455 1
89 0 1 1 0.097874 1
90 0 1 0 0.901358 1
91 0 0 1 0.016588 1
92 0 0 1 0.004016 1
93 0 0 0 2.440453 1
94 0 0 1 0.000314 1
95 1 0 1 0.048909 1
96 0 0 1 8.294843 1
97 0 0 1 0.115383 1
98 0 0 1 0.000490 1
99 0 0 1 0.774451 1
100 0 0 0 0.008266 1
101 0 0 0 0.162064 1
102 0 0 1 40.810085 1
103 0 0 0 0.240490 1
104 0 0 1 0.052491 1
105 0 0 1 0.006333 1
106 0 0 0 0.781672 1
107 0 0 1 16.005592 1
108 0 0 1 0.007149 1
109 0 0 0 2.007322 1
110 0 0 0 0.266761 1
111 0 0 1 6.415076 1
112 0 0 1 2.112424 1
113 0 0 0 0.083485 1
114 0 0 0 0.882557 1
115 0 0 0 0.124822 1
116 0 1 1 0.001510 1
117 0 0 0 0.022638 1
118 1 0 1 5.342408 1
119 0 0 1 0.140995 1
120 0 0 1 1.344041 1
121 0 1 0 0.073724 1
122 1 0 1 0.874786 1
123 1 0 1 0.276367 1
124 1 0 0 0.030366 1
125 0 0 0 0.413326 1
126 1 1 1 12.076181 1
CountsEPPM documentation built on May 1, 2019, 10:25 p.m.
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Description Usage Format Details Source References Examples
Description
Data of the number of bids received by 126 U.S. firms that were targets of tender offers from 1978 to 1985.
Usage
1 | data("takeover.bids.case")
|
Format
A data frame with 126 observations on the following 12 variables.
DOCNOa numeric vector
WEEKSa numeric vector
NUMBIDSa numeric vector
BIDPREMa numeric vector
INSTHOLDa numeric vector
SIZEa numeric vector
LEGLRESTa numeric vector
REALRESTa numeric vector
FINRESTa numeric vector
REGULATNa numeric vector
WHTKNGHTa numeric vector
SIZESQa numeric vector
Details
Data originally from Jaggia and Thosar (1993) and used as an example in Cameron and Trivedi (2013) and Saez-Castillo and Conde-Sanchez (2013).
Source
Stata data file obtained from A.C. Cameron's webpage http://cameron.econ.ucdavis.edu/.
References
Cameron, A.C., Trivedi, P.K. (2013). Regression Analysis of Count Data. Cambridge University Press, second edition.
Jaggia, S., Thosar, S. (1993). Multiple Bids as a Consequence of Target Management Resistance. Review of Quantitative Finance and Accounting, 447-457.
Saez-Castillo, A.J., Conde-Sanchez, A. (2013). A hyper-Poisson regression model for overdispersed and underdispersed count data. Computational Statistics and Data Analysis, 61, 148-157.doi: 10.1016/j.csda.2012.12.009
Examples
1 2 |
Example output
DOCNO WEEKS NUMBIDS TAKEOVER BIDPREM INSTHOLD SIZE LEGLREST REALREST
1 78001 23.571 2 1 1.190497 0.136 0.766760 1 0
2 78005 13.571 0 1 1.036000 0.134 0.162503 0 0
3 78015 5.000 1 1 1.403412 0.002 0.120489 1 0
4 78016 7.429 1 1 1.504455 0.181 0.072300 1 0
5 78028 8.857 1 1 1.380736 0.329 0.189118 1 0
6 78031 6.429 3 1 1.400069 0.188 0.154217 1 0
7 78033 13.571 2 1 1.181691 0.319 0.460355 0 0
8 78037 14.857 1 1 1.322560 0.123 0.276814 0 0
9 78039 20.714 1 1 1.650588 0.379 0.228950 0 0
10 78041 41.429 0 1 1.356060 0.343 0.914039 1 1
11 78042 2.857 1 1 1.305793 0.395 0.230777 0 0
12 78043 7.714 2 1 1.472298 0.174 0.107286 1 0
13 79008 14.429 2 1 1.387000 0.006 0.037003 1 0
14 79015 8.286 1 1 2.066366 0.060 0.308104 1 0
15 79017 7.714 2 1 1.333636 0.152 0.423673 0 0
16 79032 14.286 1 1 1.614583 0.038 0.113908 0 0
17 79033 8.286 3 1 1.349378 0.061 0.180093 1 0
18 79034 20.429 2 1 1.322247 0.112 0.551584 0 0
19 79036 10.000 2 1 1.402218 0.329 0.223570 0 0
20 80001 13.143 1 1 1.536418 0.081 0.080982 0 0
21 80002 24.429 3 1 1.510465 0.081 0.135537 0 0
22 80004 16.714 1 1 1.530601 0.087 0.111916 0 0
23 80008 7.286 2 1 1.319529 0.084 0.749821 1 1
24 80011 19.571 4 1 0.953461 0.299 1.299397 1 0
25 80014 10.286 1 1 1.573161 0.000 0.052537 1 0
26 80015 9.714 1 1 1.445622 0.080 0.035321 0 0
27 80016 6.714 1 1 1.419429 0.297 0.119377 0 0
28 80019 5.714 1 1 1.438874 0.079 0.104623 0 0
29 80020 17.000 4 1 1.335253 0.373 0.207560 1 0
30 80024 8.429 1 1 1.209008 0.211 0.221637 0 0
31 80026 7.286 2 1 1.217107 0.000 0.030686 0 1
32 80030 13.571 1 1 1.673279 0.272 0.424543 1 0
33 81001 11.143 4 1 1.587993 0.116 0.076668 1 0
34 81003 4.000 1 1 1.365418 0.126 2.965952 0 0
35 81004 5.143 1 1 1.679737 0.415 1.764889 1 1
36 81006 14.857 10 1 1.303152 0.496 11.036300 1 1
37 81008 7.714 1 1 1.394373 0.001 0.024125 0 0
38 81010 4.714 1 1 1.428554 0.197 2.010382 0 0
39 81011 12.429 1 1 1.389614 0.117 0.061078 0 0
40 81014 8.857 1 1 1.396612 0.069 0.107059 0 1
41 81015 11.000 1 1 1.745144 0.141 0.292953 1 0
42 81016 21.429 2 1 1.755294 0.060 0.120224 1 0
43 81017 9.714 1 1 1.246452 0.189 0.215708 1 0
44 81020 5.143 2 1 1.491770 0.373 0.953882 1 0
45 81024 21.714 1 1 1.890381 0.320 0.320775 1 0
46 81028 5.714 2 1 1.430947 0.485 5.043089 1 1
47 81030 6.857 1 1 1.304395 0.035 0.050246 1 0
48 81031 10.000 1 1 1.277942 0.048 0.083523 1 0
49 82001 4.143 1 1 1.373276 0.060 0.440406 0 1
50 82006 11.286 3 1 1.342380 0.322 0.680758 1 0
51 82007 10.571 1 1 1.319894 0.239 0.608149 1 0
52 82015 10.000 2 1 1.904547 0.080 0.067855 0 0
53 82016 14.714 4 1 1.374170 0.358 6.048500 1 1
54 82022 4.143 1 1 1.754313 0.476 0.229478 0 0
55 82023 18.286 3 1 1.351873 0.152 0.076379 0 0
56 82024 26.857 1 1 1.458766 0.576 1.120939 1 1
57 82025 7.000 1 1 1.305535 0.223 0.104418 0 0
58 82027 14.000 3 1 1.602093 0.253 3.218500 1 0
59 82031 4.857 2 1 1.045617 0.050 0.056570 1 0
60 82033 25.857 2 1 1.419652 0.140 0.047079 1 0
61 82034 7.143 0 1 1.355982 0.022 0.049640 0 0
62 82037 7.000 3 1 1.296421 0.076 0.120998 0 0
63 82038 7.143 0 1 1.402657 0.348 3.711206 0 1
64 82039 6.429 1 1 1.313242 0.580 0.524077 1 0
65 82040 8.857 6 1 1.294054 0.106 0.407735 0 0
66 83008 14.857 2 1 1.362922 0.065 0.162966 0 0
67 83009 10.286 2 1 1.210732 0.179 0.229662 0 0
68 83010 11.429 1 1 1.434098 0.233 2.832909 0 0
69 83011 5.000 2 1 1.421253 0.026 0.133306 0 0
70 83012 6.571 1 1 1.508683 0.576 0.190389 0 0
71 83013 7.571 1 1 1.334118 0.134 0.018447 1 0
72 83014 7.000 5 1 1.160266 0.375 2.193173 1 0
73 83015 38.000 3 1 1.275455 0.000 0.266395 0 1
74 83016 10.000 6 1 1.143672 0.050 0.090863 1 0
75 83017 8.286 1 1 1.127000 0.121 2.413504 0 0
76 83018 39.571 2 1 1.201213 0.177 0.162984 0 0
77 83019 6.429 1 1 1.404000 0.271 0.089406 0 0
78 83020 5.857 1 1 1.393225 0.173 0.534593 0 0
79 83021 19.571 2 1 1.298451 0.259 0.123048 0 0
80 84002 5.857 3 1 1.294463 0.207 9.924488 0 0
81 84003 7.000 1 1 1.261674 0.045 0.188814 0 0
82 84004 7.571 1 1 1.058623 0.201 0.525307 0 0
83 84009 18.429 2 1 1.213127 0.403 20.964001 1 0
84 84012 5.714 1 1 1.208205 0.126 0.069824 0 0
85 84013 15.286 1 1 1.633168 0.214 22.169001 0 0
86 84014 5.714 3 1 1.174125 0.071 0.086045 0 0
87 84017 12.429 3 1 1.281251 0.385 0.689141 0 0
88 84019 3.571 2 1 1.130940 0.072 0.215535 0 0
89 84022 4.286 1 1 1.206380 0.904 0.312848 1 0
90 84027 5.143 2 1 0.942675 0.203 0.949399 1 0
91 84028 8.143 1 1 1.397086 0.317 0.128793 0 0
92 84029 19.286 1 1 1.493163 0.411 0.063375 1 0
93 84030 6.000 1 1 1.320655 0.474 1.562195 1 1
94 84032 14.571 1 1 1.154000 0.000 0.017722 0 0
95 84034 3.143 0 1 1.391765 0.382 0.221153 1 0
96 84035 6.143 1 1 1.314540 0.486 2.880077 0 1
97 84037 9.000 0 1 1.584640 0.529 0.339681 0 0
98 84039 8.857 1 1 1.384925 0.198 0.022135 0 0
99 84041 37.714 1 1 1.038503 0.000 0.880029 0 1
100 84048 5.429 1 1 1.227943 0.000 0.090916 0 0
101 84053 6.857 1 1 1.491344 0.474 0.402572 1 0
102 84057 5.286 2 1 1.098285 0.463 6.388277 0 0
103 84058 4.571 1 1 1.208790 0.574 0.490398 1 1
104 84060 4.857 1 1 1.300976 0.364 0.229110 0 0
105 85006 15.857 2 1 1.113146 0.072 0.079583 0 0
106 85009 6.714 2 1 1.198550 0.642 0.884122 0 0
107 85011 5.000 1 1 1.416697 0.439 4.000699 1 1
108 85013 6.143 1 1 1.434406 0.463 0.084553 0 0
109 85016 10.143 1 1 1.316467 0.526 1.416800 0 0
110 85018 6.571 0 1 1.219000 0.328 0.516489 0 1
111 85023 19.286 0 1 1.233214 0.419 2.532800 1 1
112 85024 3.857 2 1 1.249007 0.427 1.453418 1 1
113 85025 18.143 1 1 1.237732 0.348 0.288937 0 0
114 85026 7.429 1 1 1.202640 0.461 0.939445 0 0
115 85027 5.000 1 1 1.033141 0.170 0.353301 0 0
116 85033 12.143 1 1 1.188000 0.163 0.038863 0 0
117 85035 16.429 2 1 1.176587 0.437 0.150459 1 0
118 85041 11.714 7 1 1.130624 0.621 2.311365 1 1
119 85042 14.286 2 1 1.223625 0.618 0.375493 0 0
120 85043 20.000 4 1 1.083759 0.529 1.159328 1 1
121 85046 6.000 2 1 1.241615 0.388 0.271522 0 0
122 85048 6.000 4 1 1.445402 0.422 0.935300 0 0
123 85050 25.286 3 1 1.282115 0.513 0.525706 1 0
124 85051 31.000 2 1 1.436627 0.144 0.174257 1 0
125 85052 6.286 0 1 1.272000 0.361 0.642904 0 1
126 85059 10.000 1 1 1.032875 0.442 3.475080 1 0
FINREST REGULATN WHTKNGHT SIZESQ CONSTANT
1 0 0 1 0.587921 1
2 0 0 0 0.026407 1
3 0 1 1 0.014518 1
4 0 0 0 0.005227 1
5 0 1 0 0.035766 1
6 0 0 1 0.023783 1
7 0 1 1 0.211927 1
8 0 1 0 0.076626 1
9 0 0 0 0.052418 1
10 0 1 0 0.835467 1
11 0 0 0 0.053258 1
12 0 1 1 0.011510 1
13 0 0 1 0.001369 1
14 0 0 1 0.094928 1
15 0 1 1 0.179499 1
16 0 0 0 0.012975 1
17 0 0 1 0.032433 1
18 0 0 1 0.304245 1
19 0 0 1 0.049984 1
20 0 0 0 0.006558 1
21 0 1 0 0.018370 1
22 0 0 1 0.012525 1
23 0 0 1 0.562232 1
24 0 1 1 1.688433 1
25 0 1 1 0.002760 1
26 0 0 1 0.001248 1
27 0 0 1 0.014251 1
28 0 0 0 0.010946 1
29 0 1 1 0.043081 1
30 0 1 0 0.049123 1
31 0 0 1 0.000942 1
32 0 0 1 0.180237 1
33 1 0 1 0.005878 1
34 0 0 0 8.796871 1
35 1 0 1 3.114833 1
36 0 1 1 121.799911 1
37 0 0 0 0.000582 1
38 0 0 0 4.041636 1
39 0 0 1 0.003731 1
40 0 0 1 0.011462 1
41 0 0 0 0.085821 1
42 0 1 1 0.014454 1
43 0 0 1 0.046530 1
44 0 1 1 0.909891 1
45 0 1 0 0.102897 1
46 0 1 1 25.432745 1
47 0 0 1 0.002525 1
48 0 1 1 0.006976 1
49 0 0 0 0.193957 1
50 0 1 1 0.463431 1
51 0 0 0 0.369845 1
52 0 1 1 0.004604 1
53 0 1 1 36.584354 1
54 0 0 0 0.052660 1
55 0 0 1 0.005834 1
56 0 0 1 1.256504 1
57 0 0 0 0.010903 1
58 0 0 1 10.358742 1
59 0 0 0 0.003200 1
60 0 0 0 0.002216 1
61 0 1 0 0.002464 1
62 0 0 1 0.014641 1
63 1 1 0 13.773049 1
64 1 0 1 0.274657 1
65 0 0 1 0.166248 1
66 1 0 1 0.026558 1
67 0 0 1 0.052745 1
68 0 1 0 8.025374 1
69 0 0 1 0.017770 1
70 1 0 0 0.036248 1
71 0 0 1 0.000340 1
72 0 0 1 4.810008 1
73 0 0 1 0.070966 1
74 0 0 1 0.008256 1
75 0 1 1 5.825001 1
76 0 0 1 0.026564 1
77 0 0 0 0.007993 1
78 0 0 0 0.285790 1
79 0 0 0 0.015141 1
80 0 0 0 98.495461 1
81 0 1 0 0.035651 1
82 1 0 1 0.275947 1
83 0 1 1 439.489319 1
84 0 0 0 0.004875 1
85 0 1 0 491.464600 1
86 0 0 1 0.007404 1
87 0 1 0 0.474915 1
88 0 0 0 0.046455 1
89 0 1 1 0.097874 1
90 0 1 0 0.901358 1
91 0 0 1 0.016588 1
92 0 0 1 0.004016 1
93 0 0 0 2.440453 1
94 0 0 1 0.000314 1
95 1 0 1 0.048909 1
96 0 0 1 8.294843 1
97 0 0 1 0.115383 1
98 0 0 1 0.000490 1
99 0 0 1 0.774451 1
100 0 0 0 0.008266 1
101 0 0 0 0.162064 1
102 0 0 1 40.810085 1
103 0 0 0 0.240490 1
104 0 0 1 0.052491 1
105 0 0 1 0.006333 1
106 0 0 0 0.781672 1
107 0 0 1 16.005592 1
108 0 0 1 0.007149 1
109 0 0 0 2.007322 1
110 0 0 0 0.266761 1
111 0 0 1 6.415076 1
112 0 0 1 2.112424 1
113 0 0 0 0.083485 1
114 0 0 0 0.882557 1
115 0 0 0 0.124822 1
116 0 1 1 0.001510 1
117 0 0 0 0.022638 1
118 1 0 1 5.342408 1
119 0 0 1 0.140995 1
120 0 0 1 1.344041 1
121 0 1 0 0.073724 1
122 1 0 1 0.874786 1
123 1 0 1 0.276367 1
124 1 0 0 0.030366 1
125 0 0 0 0.413326 1
126 1 1 1 12.076181 1
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