diff rDiff/examples/results/variance_function_2.mat @ 0:0f80a5141704

version 0.3 uploaded
author vipints
date Thu, 14 Feb 2013 23:38:36 -0500
parents
children
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/rDiff/examples/results/variance_function_2.mat	Thu Feb 14 23:38:36 2013 -0500
@@ -0,0 +1,1132 @@
+# Created by Octave 3.6.2, Tue Feb 05 20:09:05 2013 UTC <galaxy@ip-10-149-27-54>
+# name: VARIANCE2
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 5
+# name: data
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 8
+# name: x
+# type: matrix
+# rows: 278
+# columns: 1
+ -0.6837237318715028
+ 0.06174800706844703
+ 0.3938359345009124
+ 0.6936268096559794
+ 0.9122011167435973
+ 0.9161666558511761
+ 1.086562522614452
+ 1.090141698976293
+ 1.098632846081095
+ 1.098700261688975
+ 1.247630065657648
+ 1.508740013379464
+ 1.618800348362312
+ 1.702738617754124
+ 1.770683859700156
+ 1.792807669949503
+ 1.87635935853639
+ 1.941669549847872
+ 1.941970369931589
+ 2.017802948251929
+ 2.090749535590951
+ 2.140229670178254
+ 2.1500519573627
+ 2.196694709486154
+ 2.304005701521318
+ 2.304500516266279
+ 2.344717584725904
+ 2.347986504652476
+ 2.352634472154888
+ 2.406323592433772
+ 2.449225908696831
+ 2.478076857683252
+ 2.48382232268649
+ 2.504058279551312
+ 2.557647373888049
+ 2.563523151155118
+ 2.563735930504469
+ 2.67767480537634
+ 2.68021091770176
+ 2.685152330257218
+ 2.6866168913027
+ 2.692091126103321
+ 2.696648173029505
+ 2.701138866636309
+ 2.70805161496842
+ 2.739678738898509
+ 2.74093288633136
+ 2.746278502501331
+ 2.748323566646953
+ 2.762180911756001
+ 2.764268674173852
+ 2.767844607969534
+ 2.771345324739451
+ 2.833214757922426
+ 2.857079620381533
+ 2.86149897045788
+ 2.880732388557353
+ 2.880949884236717
+ 2.891782292595328
+ 2.891787454295845
+ 2.916986833055203
+ 2.917762953154436
+ 2.928815529016648
+ 2.939898166242062
+ 2.970414465569701
+ 3.05028210275491
+ 3.056550252011113
+ 3.08649424007081
+ 3.089021357119376
+ 3.090526280779387
+ 3.09061347841052
+ 3.090805858442458
+ 3.093298287488152
+ 3.11055019199932
+ 3.114662332422402
+ 3.115725414147837
+ 3.13534476640749
+ 3.15214874092909
+ 3.157818952910483
+ 3.177085977697478
+ 3.180068491795122
+ 3.196507095511479
+ 3.219776951192828
+ 3.219938595156166
+ 3.236271063210053
+ 3.238596262695897
+ 3.238622270382975
+ 3.258184511042348
+ 3.258209498242059
+ 3.261307672704753
+ 3.273138257683985
+ 3.277144732992177
+ 3.295644661278247
+ 3.295837253233735
+ 3.30967197554672
+ 3.31252126260721
+ 3.31364708015119
+ 3.315551573005444
+ 3.319025994877266
+ 3.333296891516658
+ 3.367104971509389
+ 3.371089020913112
+ 3.381333481597382
+ 3.38259036877319
+ 3.382894834196399
+ 3.401101232166583
+ 3.401177026091906
+ 3.40777598978751
+ 3.424259372526096
+ 3.435846433621081
+ 3.445001937877656
+ 3.447215326423599
+ 3.466500324258321
+ 3.496335771780778
+ 3.498261890607032
+ 3.525896628494842
+ 3.550215158651694
+ 3.587040773972411
+ 3.591337838935608
+ 3.598486741570843
+ 3.624783410872607
+ 3.637684796476905
+ 3.653042350005317
+ 3.659594662386923
+ 3.669839693286666
+ 3.675314648961579
+ 3.676570805196315
+ 3.693510770935168
+ 3.700599285814474
+ 3.712732666501156
+ 3.725889265995356
+ 3.728806916286573
+ 3.737575678868684
+ 3.737640745130216
+ 3.750319896857612
+ 3.766264089362134
+ 3.794839201090781
+ 3.796482184690774
+ 3.816856416946188
+ 3.827728663378093
+ 3.831036527965425
+ 3.849869447193602
+ 3.850168159123043
+ 3.850300845641791
+ 3.870924309170324
+ 3.880258694019726
+ 3.934771313609195
+ 3.967309085255758
+ 3.970291913552122
+ 3.983056440768356
+ 3.987633758403662
+ 4.020384449024863
+ 4.03328099952925
+ 4.043073489125093
+ 4.057518917478322
+ 4.080979358171917
+ 4.131447422745107
+ 4.13323353081808
+ 4.14388459674826
+ 4.15445190993935
+ 4.178274397261848
+ 4.243628001636987
+ 4.255180963745262
+ 4.256188338927372
+ 4.315835089910593
+ 4.323528187705366
+ 4.343172424194938
+ 4.357715673055751
+ 4.358835834519239
+ 4.360156889436634
+ 4.362942117524167
+ 4.363098624788363
+ 4.381690282465024
+ 4.412736410900316
+ 4.412778981044502
+ 4.430787553370068
+ 4.442651256490317
+ 4.448418932931327
+ 4.494170404470387
+ 4.516744556825715
+ 4.52713936959471
+ 4.548733055985126
+ 4.569714490304562
+ 4.59170044353263
+ 4.605155996397983
+ 4.605242940947991
+ 4.629862798578463
+ 4.649424629297087
+ 4.654429533956064
+ 4.658948564073307
+ 4.663331322393925
+ 4.672741511961561
+ 4.677490847567717
+ 4.686764703424206
+ 4.707318789136448
+ 4.749317899616689
+ 4.754032678873459
+ 4.755490465765986
+ 4.756908335620226
+ 4.761806895306663
+ 4.764808391879312
+ 4.774858581905033
+ 4.774924637360026
+ 4.828548979652879
+ 4.844187086458591
+ 4.883025211799247
+ 4.901568155021455
+ 4.907544117680292
+ 4.908056053531867
+ 4.927253685157205
+ 4.945207488773801
+ 4.945256827797232
+ 4.952173058084705
+ 4.983606621708336
+ 5.000584958242754
+ 5.01396308418893
+ 5.014443784488533
+ 5.039884572964992
+ 5.072248590936808
+ 5.108771923346613
+ 5.12735419916178
+ 5.132852926820505
+ 5.146028211303397
+ 5.158248299892336
+ 5.178836964178177
+ 5.178970608915471
+ 5.181449722914155
+ 5.198461365947709
+ 5.210480250531378
+ 5.216832991062214
+ 5.233778845410465
+ 5.246452553112158
+ 5.260581348332298
+ 5.27556037942542
+ 5.286171927979069
+ 5.288267030694535
+ 5.293315555829349
+ 5.295247341944374
+ 5.305789381386738
+ 5.327930463402223
+ 5.351858133476067
+ 5.361852817838315
+ 5.392026766517009
+ 5.418320158942733
+ 5.427161519729163
+ 5.487695442128418
+ 5.511414398014781
+ 5.531050789197131
+ 5.535779814289461
+ 5.578733578716419
+ 5.581791670759578
+ 5.593699382398812
+ 5.598421958998375
+ 5.629239797571959
+ 5.674261469894548
+ 5.698100710092929
+ 5.74790412745876
+ 5.789910004502656
+ 5.795269027081676
+ 5.83627165770228
+ 5.857933154483459
+ 5.91384877998279
+ 5.916202062607435
+ 5.938854596835685
+ 6.036376680772958
+ 6.045005314036012
+ 6.091975207898088
+ 6.093569770045136
+ 6.134592158096624
+ 6.189290290437902
+ 6.417444895389531
+ 6.476202836110654
+ 6.531606225208026
+ 6.532664111291542
+ 6.624115110677359
+ 6.838405200847344
+ 6.89719976504262
+ 6.913240209212707
+
+
+# name: y
+# type: matrix
+# rows: 278
+# columns: 1
+ 0.5095128105889919
+ 2.262890989492474
+ 0.3903719176547771
+ 0.003839794327176179
+ 0.3917961576267153
+ 0.496893837511402
+ 7.567980505420947
+ 1.685461076123281
+ 0.0003700448443042101
+ 0.001583723349696673
+ 0.1150036957558873
+ 12.87751485408255
+ 2.870984752978563
+ 0.1723395917674941
+ 4.588390742570005
+ 2.148519041909404
+ 1.144045334454488
+ 1.004323412123323
+ 17.22379945006875
+ 1.053407918098356
+ 10.74263120456703
+ 0.5462425905480218
+ 2.606281302384316
+ 1.824426951409311
+ 0.2847278134999736
+ 8.751508279579989
+ 37.53685881304948
+ 2.816933632549801
+ 5.041012616330716
+ 11.76866786127581
+ 15.964992427774
+ 2.704612128199408
+ 0.07467211870818209
+ 25.71792964454761
+ 12.646384232166
+ 31.03048801094295
+ 7.157799659878497
+ 0.8418322427126725
+ 17.26157534096623
+ 50.1090176598573
+ 3.938591528206427
+ 38.43861162504254
+ 39.26418566485877
+ 10.98116344553044
+ 0.0006362411438755319
+ 11.35863078981493
+ 0.5858538344805686
+ 4.059245305277956
+ 10.51531849309278
+ 38.79804374952369
+ 22.80997050547674
+ 12.71915897537465
+ 6.668584472241394
+ 0.0008172164025779054
+ 3.528197481757015
+ 3.589683182832203
+ 53.84986923287117
+ 36.9806756408968
+ 51.81573326646112
+ 0.9193214924445007
+ 11.40291322301973
+ 0.4892928254180323
+ 25.56162911063156
+ 10.47539394445285
+ 4.5
+ 16.67347386036222
+ 36.61111542576936
+ 6.140759039343298
+ 2.67879046113072
+ 6.965678000266726
+ 7.145939865379905
+ 17.53912632527845
+ 5.510984395324954
+ 4.565656077236426
+ 0.6107524045157247
+ 44.87800362415224
+ 31.68304694687573
+ 28.88041757211065
+ 0.1326295092775012
+ 15.69432191852325
+ 0.9497159281593975
+ 6.239608926743183
+ 1.127931527145661
+ 20.57511668565869
+ 2.868866242400571
+ 0.2383249665199263
+ 0.3380965677503775
+ 0.1189552204883287
+ 18.30422151798077
+ 2.243951000983381
+ 86.60547316148667
+ 60.5
+ 17.43519099066326
+ 0.0005645808026262814
+ 25.1054243244803
+ 35.2979971078162
+ 2.617655847694602
+ 0.1503558422449883
+ 25.07963462065321
+ 21.29308861248387
+ 0.08062339413751202
+ 93.61118902992681
+ 11.46074728431915
+ 3.2212220909995
+ 1.083900153566068
+ 17.65221538732596
+ 1.92602520012967
+ 53.2311882281321
+ 22.28872505539069
+ 3.583418585972517
+ 13.94302863035861
+ 10.7507774521911
+ 21.01778409915793
+ 1.127811889399884
+ 1.887870662802517
+ 5.653240354397706
+ 11.50036957558872
+ 5.777646429812394
+ 50.7213718715639
+ 4.661622164066101
+ 14.88641784073798
+ 72.56869163238274
+ 53.75000964928081
+ 18.02409241043141
+ 66.57760750659131
+ 3.989009822875355
+ 0.1171681483774458
+ 30.55919037570892
+ 0.7412895458428543
+ 83.33135616607402
+ 0.07890085258687321
+ 13.35910285199716
+ 1.249366663768299
+ 7.79494880360532
+ 0.9181308748332482
+ 106.3921500888627
+ 19.00851241582381
+ 2.763205174640964
+ 53.1857790604999
+ 41.93033263885174
+ 15.7927846475879
+ 15.44556024941331
+ 0.09082545122977904
+ 0.04928298427633633
+ 5.134615943214277
+ 144.2045655465189
+ 43.76162830689096
+ 9.57849896670632
+ 8
+ 42.4531833840209
+ 6.016508594494942
+ 21.51904670522827
+ 5.717876684214008
+ 8.286281189893426
+ 119.6182328287741
+ 32.0990231127498
+ 202.5908175513118
+ 13.17926760757914
+ 1.979611199950268
+ 18.52660612743934
+ 439.0796236488824
+ 670.0413786389963
+ 25.7917458355514
+ 123.3965219031716
+ 152.323399026547
+ 24.82013448743075
+ 12.50518413769069
+ 5.585321488235243
+ 145.2882926543925
+ 38.20824400245006
+ 8.189037768595981
+ 4.5
+ 119.2384328499567
+ 2.535606663085825
+ 59.9730856777977
+ 31.16914771144889
+ 338
+ 0.02485817059294484
+ 0.7766392300095919
+ 5.185276266923797
+ 110.116552519697
+ 8.601269367714169
+ 270.8514958450469
+ 543.5051672954272
+ 0.05862129698714816
+ 74.88223459185733
+ 144.5
+ 21.63534895991268
+ 50.58683598060291
+ 536.7538588085558
+ 12.6952289795521
+ 2.078276634789749
+ 84.5
+ 13.17535528840555
+ 244.3457722262002
+ 0.6805884503107203
+ 3.726301055476219
+ 49.57020185604524
+ 425.5479680122224
+ 179.3510453262694
+ 51.77014068844062
+ 0.10929374572545
+ 5.134940811146142
+ 30.96112585651044
+ 2
+ 143.1443174846983
+ 0.7592791592896813
+ 82.86905454705295
+ 57.87230629294996
+ 18
+ 112.5
+ 7.916787061613076
+ 2.097412593499173
+ 450
+ 0.5
+ 144.5
+ 34.19672040897215
+ 80.24143186888391
+ 59.51029515959627
+ 60.71257252937583
+ 225.5462885974688
+ 312.5
+ 2273.573248113467
+ 125.3902452855249
+ 107.881261698402
+ 12.5
+ 45.99355213633316
+ 93.26797939755375
+ 165.4852034614071
+ 35.77962908834288
+ 4.5
+ 8.632186775251466
+ 51.15784902960518
+ 24.5
+ 1.875114482072241
+ 288
+ 0.2068083135269022
+ 42.53473699158519
+ 0.5
+ 1555.619385970493
+ 98
+ 110.3351589580429
+ 69.62635351188125
+ 40.5
+ 14.74306022481423
+ 38.11485731129793
+ 1.261804747487579
+ 89.37477174828831
+ 86.35282028414471
+ 696.8618376765238
+ 28.72606530132975
+ 1394.700550373311
+ 648
+ 1.805052914514951
+ 248.24852220784
+ 351.8088925759497
+ 1717.05861787253
+ 266.1121842193227
+ 576.4607548007504
+ 1200.5
+ 1152
+ 248.6603663960368
+ 512
+ 220.5
+ 102.7360122575716
+ 242
+ 1233.477909589782
+ 162
+ 2599.462654032517
+ 0.5
+ 73.53753364090731
+ 1012.5
+ 1104.5
+ 1574.372465098846
+ 2.534770870396374
+ 882
+ 2112.5
+ 180.5
+
+
+# name: weights
+# type: matrix
+# rows: 278
+# columns: 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+ 1
+
+
+# name: censor
+# type: scalar
+0
+
+
+# name: baseline
+# type: scalar
+0
+
+
+# name: style
+# type: sq_string
+# elements: 1
+# length: 1
+n
+
+
+# name: scales
+# type: scalar
+1
+
+
+# name: xlim
+# type: matrix
+# rows: 2
+# columns: 1
+ 0
+ 0
+
+
+
+
+# name: evaluation_structure
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 8
+# name: type
+# type: sq_string
+# elements: 1
+# length: 4
+tree
+
+
+# name: module
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 3
+# name: name
+# type: sq_string
+# elements: 1
+# length: 3
+std
+
+
+# name: directory
+# type: null_sq_string
+# elements: 0
+
+
+# name: parameters
+# type: scalar
+0
+
+
+
+
+# name: lower_left
+# type: scalar
+0
+
+
+# name: upper_right
+# type: scalar
+0
+
+
+# name: grid
+# type: scalar
+10
+
+
+# name: cut
+# type: scalar
+0.8
+
+
+# name: maxk
+# type: scalar
+1000
+
+
+# name: derivative
+# type: scalar
+0
+
+
+
+
+# name: smoothing_parameters
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 11
+# name: alpha
+# type: matrix
+# rows: 1
+# columns: 3
+ 0.7 0 0
+
+
+# name: adaptive_criterion
+# type: sq_string
+# elements: 1
+# length: 2
+cp
+
+
+# name: degree
+# type: scalar
+2
+
+
+# name: family
+# type: sq_string
+# elements: 1
+# length: 5
+gamma
+
+
+# name: link
+# type: sq_string
+# elements: 1
+# length: 7
+default
+
+
+# name: kernel
+# type: sq_string
+# elements: 1
+# length: 4
+tcub
+
+
+# name: kernel_type
+# type: sq_string
+# elements: 1
+# length: 3
+sph
+
+
+# name: deren
+# type: scalar
+0
+
+
+# name: deit
+# type: sq_string
+# elements: 1
+# length: 7
+default
+
+
+# name: demint
+# type: scalar
+20
+
+
+# name: debug
+# type: scalar
+0
+
+
+
+
+# name: fit_points
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 6
+# name: evaluation_points
+# type: matrix
+# rows: 1
+# columns: 7
+ -0.6837237318715028 6.913240209212707 3.114758238670602 1.21551725339955 2.165137746035076 5.013999223941655 4.064378731306128
+
+
+# name: fitted_values
+# type: matrix
+# rows: 7
+# columns: 11
+ -0.01330035006682273 0.03549149179896849 0.1171744754683572 -0.1157830276837744 0.1436402017837177 -0.1560111882333693 -107.7016511367838 1.80158141020965 80.52755086076489 6.283471469295979 2
+ -0.00322819774656935 -0.002942076412471462 0.000229194745680672 0.0003147470408328135 0.004963490633641321 0.006166109709918072 -366.3976007523046 2.805436492021192 267.1463897916529 16.38279486152116 2
+ -0.1382583082248194 -0.3151712696066232 0.02790531465043584 0.03272622243426083 0.03240992631060767 0.03768146004595135 -161.6897918193248 2.133747885643269 130.4556649799812 1.729428847787989 2
+ 0.07272184174380869 0.07335641909763269 0.01023466211516438 0.02742166543143666 0.02773520037321356 0.02631840711620755 -114.5747801738878 1.928611167838315 87.50517249826758 3.471247450024657 2
+ 0.08100726007375658 0.05350461332979739 0.0261079364404702 0.001117115458406925 0.03533605016257906 -0.008540646183670259 -144.5321677263554 1.876727159571737 113.5097456430282 2.542181043101372 2
+ 0.0008821100229878809 0.003341839823870485 0.002664146062638081 -0.009764906705681444 0.004653318505989421 -0.01351712615463752 -337.9024717149328 2.528354686181343 247.1484042796377 5.710033194810371 2
+ -0.03332092173150825 0.005610510035149119 0.0106149310659126 0.005675385127543298 0.01426256403251089 0.005931200770144539 -321.7080844695797 2.350231475064818 235.9857941424283 3.75878515578307 2
+
+
+# name: evaluation_vectors
+# type: scalar struct
+# ndims: 2
+ 1 1
+# length: 4
+# name: cell
+# type: matrix
+# rows: 2
+# columns: 1
+ 0
+ 1
+
+
+# name: splitvar
+# type: matrix
+# rows: 1
+# columns: 7
+ 0 0 0 0 0 0 0
+
+
+# name: lo
+# type: matrix
+# rows: 1
+# columns: 7
+ 0 0 0 0 2 1 2
+
+
+# name: hi
+# type: matrix
+# rows: 1
+# columns: 7
+ 0 0 1 2 3 2 5
+
+
+
+
+# name: fit_limits
+# type: matrix
+# rows: 1
+# columns: 2
+ -0.6837237318715028 6.913240209212707
+
+
+# name: family_link
+# type: matrix
+# rows: 1
+# columns: 2
+ 7 4
+
+
+# name: kappa
+# type: matrix
+# rows: 1
+# columns: 6
+ -375.7721737197621 4.326393078218434 3.999531468963915 1 0 1
+
+
+
+
+# name: parametric_component
+# type: matrix
+# rows: 1
+# columns: 31
+ 3.90847716899872 3.785893132825661 1.141655260726247 0.06671440640915378 0.05997601419754899 0.1360995310701148 0.1762974062515398 0.4032892358880494 1.169276954369894e-16 0 1.169276954369894e-16 0.9999999922835233 -1.561047579446026e-10 0 -1.561047579446026e-10 1.596710771828427 0.6764432915558409 0.2912884333568486 0.6764432880157893 -0.2059720129428417 0.9566352745913731 -0.205972040072825 -0.7071067834446033 1.908104674112378e-08 0.7071067789284913 -0.1121234137810513 0.1476679348555476 0.1371987652463793 0.05997601419754899 0.04529459702766524 0.03905309530472187
+
+
+
+