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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(EvenBetterRegression)
> 
> test_check("EvenBetterRegression")
[1] "Iteration 1 of 1000:"
[1] 0.9864155
[1] "Iteration 2 of 1000:"
[1] 0.9856354
[1] "Iteration 3 of 1000:"
[1] 0.984732
[1] "Iteration 4 of 1000:"
[1] 0.9849155
[1] "Iteration 5 of 1000:"
[1] 0.9854181
[1] "Iteration 6 of 1000:"
[1] 0.9863907
[1] "Iteration 7 of 1000:"
[1] 0.9846398
[1] "Iteration 8 of 1000:"
[1] 0.985021
[1] "Iteration 9 of 1000:"
[1] 0.9854667
[1] "Iteration 10 of 1000:"
[1] 0.9850151
[1] "Iteration 11 of 1000:"
[1] 0.98838
[1] "Iteration 12 of 1000:"
[1] 0.9880939
[1] "Iteration 13 of 1000:"
[1] 0.9886129
[1] "Iteration 14 of 1000:"
[1] 0.9878567
[1] "Iteration 15 of 1000:"
[1] 0.9858554
[1] "Iteration 16 of 1000:"
[1] 0.9852568
[1] "Iteration 17 of 1000:"
[1] 0.9857234
[1] "Iteration 18 of 1000:"
[1] 0.9860399
[1] "Iteration 19 of 1000:"
[1] 0.9866659
[1] "Iteration 20 of 1000:"
[1] 0.9842811
[1] "Iteration 21 of 1000:"
[1] 0.9872885
[1] "Iteration 22 of 1000:"
[1] 0.9879181
[1] "Iteration 23 of 1000:"
[1] 0.9852422
[1] "Iteration 24 of 1000:"
[1] 0.9868365
[1] "Iteration 25 of 1000:"
[1] 0.9876582
[1] "Iteration 26 of 1000:"
[1] 0.9875664
[1] "Iteration 27 of 1000:"
[1] 0.9887654
[1] "Iteration 28 of 1000:"
[1] 0.98742
[1] "Iteration 29 of 1000:"
[1] 0.9859115
[1] "Iteration 30 of 1000:"
[1] 0.9884243
[1] "Iteration 31 of 1000:"
[1] 0.9852656
[1] "Iteration 32 of 1000:"
[1] 0.9866444
[1] "Iteration 33 of 1000:"
[1] 0.9863979
[1] "Iteration 34 of 1000:"
[1] 0.9863392
[1] "Iteration 35 of 1000:"
[1] 0.9865855
[1] "Iteration 36 of 1000:"
[1] 0.9880452
[1] "Iteration 37 of 1000:"
[1] 0.9854203
[1] "Iteration 38 of 1000:"
[1] 0.9872265
[1] "Iteration 39 of 1000:"
[1] 0.9876344
[1] "Iteration 40 of 1000:"
[1] 0.9879861
[1] "Iteration 41 of 1000:"
[1] 0.9881503
[1] "Iteration 42 of 1000:"
[1] 0.9857798
[1] "Iteration 43 of 1000:"
[1] 0.9848443
[1] "Iteration 44 of 1000:"
[1] 0.9878215
[1] "Iteration 45 of 1000:"
[1] 0.9855694
[1] "Iteration 46 of 1000:"
[1] 0.9883658
[1] "Iteration 47 of 1000:"
[1] 0.9888868
[1] "Iteration 48 of 1000:"
[1] 0.9888201
[1] "Iteration 49 of 1000:"
[1] 0.9880054
[1] "Iteration 50 of 1000:"
[1] 0.9871944
[1] "Iteration 51 of 1000:"
[1] 0.9889359
[1] "Iteration 52 of 1000:"
[1] 0.9864529
[1] "Iteration 53 of 1000:"
[1] 0.9846334
[1] "Iteration 54 of 1000:"
[1] 0.9865844
[1] "Iteration 55 of 1000:"
[1] 0.9863577
[1] "Iteration 56 of 1000:"
[1] 0.9848097
[1] "Iteration 57 of 1000:"
[1] 0.9878764
[1] "Iteration 58 of 1000:"
[1] 0.9874492
[1] "Iteration 59 of 1000:"
[1] 0.9875663
[1] "Iteration 60 of 1000:"
[1] 0.9876658
[1] "Iteration 61 of 1000:"
[1] 0.9881532
[1] "Iteration 62 of 1000:"
[1] 0.9890424
[1] "Iteration 63 of 1000:"
[1] 0.9880156
[1] "Iteration 64 of 1000:"
[1] 0.9861769
[1] "Iteration 65 of 1000:"
[1] 0.9859939
[1] "Iteration 66 of 1000:"
[1] 0.9852036
[1] "Iteration 67 of 1000:"
[1] 0.9840686
[1] "Iteration 68 of 1000:"
[1] 0.9857064
[1] "Iteration 69 of 1000:"
[1] 0.9847469
[1] "Iteration 70 of 1000:"
[1] 0.985622
[1] "Iteration 71 of 1000:"
[1] 0.9861141
[1] "Iteration 72 of 1000:"
[1] 0.985048
[1] "Iteration 73 of 1000:"
[1] 0.9882068
[1] "Iteration 74 of 1000:"
[1] 0.9856778
[1] "Iteration 75 of 1000:"
[1] 0.9854941
[1] "Iteration 76 of 1000:"
[1] 0.9879388
[1] "Iteration 77 of 1000:"
[1] 0.9866562
[1] "Iteration 78 of 1000:"
[1] 0.9869939
[1] "Iteration 79 of 1000:"
[1] 0.9868717
[1] "Iteration 80 of 1000:"
[1] 0.9861105
[1] "Iteration 81 of 1000:"
[1] 0.987756
[1] "Iteration 82 of 1000:"
[1] 0.986133
[1] "Iteration 83 of 1000:"
[1] 0.9883361
[1] "Iteration 84 of 1000:"
[1] 0.987749
[1] "Iteration 85 of 1000:"
[1] 0.9846329
[1] "Iteration 86 of 1000:"
[1] 0.9877191
[1] "Iteration 87 of 1000:"
[1] 0.9855678
[1] "Iteration 88 of 1000:"
[1] 0.9865399
[1] "Iteration 89 of 1000:"
[1] 0.9871943
[1] "Iteration 90 of 1000:"
[1] 0.9861981
[1] "Iteration 91 of 1000:"
[1] 0.9867364
[1] "Iteration 92 of 1000:"
[1] 0.9856189
[1] "Iteration 93 of 1000:"
[1] 0.9871996
[1] "Iteration 94 of 1000:"
[1] 0.9861283
[1] "Iteration 95 of 1000:"
[1] 0.9858333
[1] "Iteration 96 of 1000:"
[1] 0.9879184
[1] "Iteration 97 of 1000:"
[1] 0.987258
[1] "Iteration 98 of 1000:"
[1] 0.9824277
[1] "Iteration 99 of 1000:"
[1] 0.9876287
[1] "Iteration 100 of 1000:"
[1] 0.9875713
[1] "Iteration 101 of 1000:"
[1] 0.9864925
[1] "Iteration 102 of 1000:"
[1] 0.9888337
[1] "Iteration 103 of 1000:"
[1] 0.9880743
[1] "Iteration 104 of 1000:"
[1] 0.9876288
[1] "Iteration 105 of 1000:"
[1] 0.9878893
[1] "Iteration 106 of 1000:"
[1] 0.9871167
[1] "Iteration 107 of 1000:"
[1] 0.9878201
[1] "Iteration 108 of 1000:"
[1] 0.982559
[1] "Iteration 109 of 1000:"
[1] 0.9868809
[1] "Iteration 110 of 1000:"
[1] 0.9879303
[1] "Iteration 111 of 1000:"
[1] 0.9879415
[1] "Iteration 112 of 1000:"
[1] 0.985576
[1] "Iteration 113 of 1000:"
[1] 0.9878608
[1] "Iteration 114 of 1000:"
[1] 0.9874129
[1] "Iteration 115 of 1000:"
[1] 0.987523
[1] "Iteration 116 of 1000:"
[1] 0.9878698
[1] "Iteration 117 of 1000:"
[1] 0.9856752
[1] "Iteration 118 of 1000:"
[1] 0.9869921
[1] "Iteration 119 of 1000:"
[1] 0.9873518
[1] "Iteration 120 of 1000:"
[1] 0.9880535
[1] "Iteration 121 of 1000:"
[1] 0.987146
[1] "Iteration 122 of 1000:"
[1] 0.9858946
[1] "Iteration 123 of 1000:"
[1] 0.986834
[1] "Iteration 124 of 1000:"
[1] 0.9879248
[1] "Iteration 125 of 1000:"
[1] 0.9874379
[1] "Iteration 126 of 1000:"
[1] 0.9880608
[1] "Iteration 127 of 1000:"
[1] 0.9862717
[1] "Iteration 128 of 1000:"
[1] 0.9864806
[1] "Iteration 129 of 1000:"
[1] 0.9861917
[1] "Iteration 130 of 1000:"
[1] 0.9858328
[1] "Iteration 131 of 1000:"
[1] 0.9855776
[1] "Iteration 132 of 1000:"
[1] 0.986536
[1] "Iteration 133 of 1000:"
[1] 0.9854249
[1] "Iteration 134 of 1000:"
[1] 0.9865219
[1] "Iteration 135 of 1000:"
[1] 0.9852442
[1] "Iteration 136 of 1000:"
[1] 0.9869647
[1] "Iteration 137 of 1000:"
[1] 0.9865828
[1] "Iteration 138 of 1000:"
[1] 0.9861093
[1] "Iteration 139 of 1000:"
[1] 0.9886435
[1] "Iteration 140 of 1000:"
[1] 0.9861762
[1] "Iteration 141 of 1000:"
[1] 0.9881053
[1] "Iteration 142 of 1000:"
[1] 0.9880852
[1] "Iteration 143 of 1000:"
[1] 0.9877804
[1] "Iteration 144 of 1000:"
[1] 0.9856869
[1] "Iteration 145 of 1000:"
[1] 0.987258
[1] "Iteration 146 of 1000:"
[1] 0.9889358
[1] "Iteration 147 of 1000:"
[1] 0.9888976
[1] "Iteration 148 of 1000:"
[1] 0.9856137
[1] "Iteration 149 of 1000:"
[1] 0.9853461
[1] "Iteration 150 of 1000:"
[1] 0.9881254
[1] "Iteration 151 of 1000:"
[1] 0.9854247
[1] "Iteration 152 of 1000:"
[1] 0.9860272
[1] "Iteration 153 of 1000:"
[1] 0.987306
[1] "Iteration 154 of 1000:"
[1] 0.988491
[1] "Iteration 155 of 1000:"
[1] 0.9872794
[1] "Iteration 156 of 1000:"
[1] 0.9861197
[1] "Iteration 157 of 1000:"
[1] 0.9875942
[1] "Iteration 158 of 1000:"
[1] 0.9855633
[1] "Iteration 159 of 1000:"
[1] 0.9880115
[1] "Iteration 160 of 1000:"
[1] 0.9842925
[1] "Iteration 161 of 1000:"
[1] 0.9849288
[1] "Iteration 162 of 1000:"
[1] 0.9889839
[1] "Iteration 163 of 1000:"
[1] 0.9871473
[1] "Iteration 164 of 1000:"
[1] 0.9872556
[1] "Iteration 165 of 1000:"
[1] 0.9876945
[1] "Iteration 166 of 1000:"
[1] 0.9874652
[1] "Iteration 167 of 1000:"
[1] 0.9866346
[1] "Iteration 168 of 1000:"
[1] 0.9850778
[1] "Iteration 169 of 1000:"
[1] 0.9860476
[1] "Iteration 170 of 1000:"
[1] 0.985827
[1] "Iteration 171 of 1000:"
[1] 0.9877937
[1] "Iteration 172 of 1000:"
[1] 0.9853201
[1] "Iteration 173 of 1000:"
[1] 0.9871443
[1] "Iteration 174 of 1000:"
[1] 0.9849973
[1] "Iteration 175 of 1000:"
[1] 0.9876165
[1] "Iteration 176 of 1000:"
[1] 0.9880071
[1] "Iteration 177 of 1000:"
[1] 0.9857541
[1] "Iteration 178 of 1000:"
[1] 0.9881739
[1] "Iteration 179 of 1000:"
[1] 0.9881471
[1] "Iteration 180 of 1000:"
[1] 0.9856566
[1] "Iteration 181 of 1000:"
[1] 0.9853175
[1] "Iteration 182 of 1000:"
[1] 0.9866226
[1] "Iteration 183 of 1000:"
[1] 0.9866075
[1] "Iteration 184 of 1000:"
[1] 0.9875202
[1] "Iteration 185 of 1000:"
[1] 0.9874876
[1] "Iteration 186 of 1000:"
[1] 0.9882282
[1] "Iteration 187 of 1000:"
[1] 0.9880036
[1] "Iteration 188 of 1000:"
[1] 0.9866427
[1] "Iteration 189 of 1000:"
[1] 0.9885633
[1] "Iteration 190 of 1000:"
[1] 0.987917
[1] "Iteration 191 of 1000:"
[1] 0.9874705
[1] "Iteration 192 of 1000:"
[1] 0.986527
[1] "Iteration 193 of 1000:"
[1] 0.9872216
[1] "Iteration 194 of 1000:"
[1] 0.9876045
[1] "Iteration 195 of 1000:"
[1] 0.9845013
[1] "Iteration 196 of 1000:"
[1] 0.985917
[1] "Iteration 197 of 1000:"
[1] 0.9847039
[1] "Iteration 198 of 1000:"
[1] 0.9844301
[1] "Iteration 199 of 1000:"
[1] 0.9854466
[1] "Iteration 200 of 1000:"
[1] 0.9872225
[1] "Iteration 201 of 1000:"
[1] 0.9857472
[1] "Iteration 202 of 1000:"
[1] 0.9844077
[1] "Iteration 203 of 1000:"
[1] 0.9888719
[1] "Iteration 204 of 1000:"
[1] 0.9877393
[1] "Iteration 205 of 1000:"
[1] 0.9867215
[1] "Iteration 206 of 1000:"
[1] 0.9859096
[1] "Iteration 207 of 1000:"
[1] 0.9886038
[1] "Iteration 208 of 1000:"
[1] 0.9878482
[1] "Iteration 209 of 1000:"
[1] 0.986094
[1] "Iteration 210 of 1000:"
[1] 0.9844473
[1] "Iteration 211 of 1000:"
[1] 0.9830977
[1] "Iteration 212 of 1000:"
[1] 0.9880837
[1] "Iteration 213 of 1000:"
[1] 0.988097
[1] "Iteration 214 of 1000:"
[1] 0.98739
[1] "Iteration 215 of 1000:"
[1] 0.985534
[1] "Iteration 216 of 1000:"
[1] 0.9849489
[1] "Iteration 217 of 1000:"
[1] 0.9857162
[1] "Iteration 218 of 1000:"
[1] 0.9856717
[1] "Iteration 219 of 1000:"
[1] 0.9860399
[1] "Iteration 220 of 1000:"
[1] 0.9864814
[1] "Iteration 221 of 1000:"
[1] 0.9863662
[1] "Iteration 222 of 1000:"
[1] 0.9871644
[1] "Iteration 223 of 1000:"
[1] 0.9874535
[1] "Iteration 224 of 1000:"
[1] 0.9875265
[1] "Iteration 225 of 1000:"
[1] 0.9857695
[1] "Iteration 226 of 1000:"
[1] 0.9877318
[1] "Iteration 227 of 1000:"
[1] 0.9870471
[1] "Iteration 228 of 1000:"
[1] 0.9858566
[1] "Iteration 229 of 1000:"
[1] 0.9869699
[1] "Iteration 230 of 1000:"
[1] 0.9877002
[1] "Iteration 231 of 1000:"
[1] 0.9845377
[1] "Iteration 232 of 1000:"
[1] 0.9878985
[1] "Iteration 233 of 1000:"
[1] 0.987466
[1] "Iteration 234 of 1000:"
[1] 0.9876062
[1] "Iteration 235 of 1000:"
[1] 0.985436
[1] "Iteration 236 of 1000:"
[1] 0.9876418
[1] "Iteration 237 of 1000:"
[1] 0.9873653
[1] "Iteration 238 of 1000:"
[1] 0.9861186
[1] "Iteration 239 of 1000:"
[1] 0.9872809
[1] "Iteration 240 of 1000:"
[1] 0.9865108
[1] "Iteration 241 of 1000:"
[1] 0.9884028
[1] "Iteration 242 of 1000:"
[1] 0.9854067
[1] "Iteration 243 of 1000:"
[1] 0.9875708
[1] "Iteration 244 of 1000:"
[1] 0.9880698
[1] "Iteration 245 of 1000:"
[1] 0.987629
[1] "Iteration 246 of 1000:"
[1] 0.9876533
[1] "Iteration 247 of 1000:"
[1] 0.9880253
[1] "Iteration 248 of 1000:"
[1] 0.9855689
[1] "Iteration 249 of 1000:"
[1] 0.9847727
[1] "Iteration 250 of 1000:"
[1] 0.988299
[1] "Iteration 251 of 1000:"
[1] 0.9883332
[1] "Iteration 252 of 1000:"
[1] 0.9871341
[1] "Iteration 253 of 1000:"
[1] 0.9878282
[1] "Iteration 254 of 1000:"
[1] 0.9873603
[1] "Iteration 255 of 1000:"
[1] 0.985106
[1] "Iteration 256 of 1000:"
[1] 0.984519
[1] "Iteration 257 of 1000:"
[1] 0.9874055
[1] "Iteration 258 of 1000:"
[1] 0.9855016
[1] "Iteration 259 of 1000:"
[1] 0.9877013
[1] "Iteration 260 of 1000:"
[1] 0.9845965
[1] "Iteration 261 of 1000:"
[1] 0.9854848
[1] "Iteration 262 of 1000:"
[1] 0.9869081
[1] "Iteration 263 of 1000:"
[1] 0.986749
[1] "Iteration 264 of 1000:"
[1] 0.9855675
[1] "Iteration 265 of 1000:"
[1] 0.9877699
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[1] 0.9858435
[1] "Iteration 267 of 1000:"
[1] 0.9893209
[1] "Iteration 268 of 1000:"
[1] 0.9863898
[1] "Iteration 269 of 1000:"
[1] 0.9846853
[1] "Iteration 270 of 1000:"
[1] 0.9881391
[1] "Iteration 271 of 1000:"
[1] 0.9857547
[1] "Iteration 272 of 1000:"
[1] 0.9845856
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[1] 0.9843347
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[1] 0.9877794
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[1] 0.985611
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[1] 0.9851971
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[1] 0.9866039
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[1] 0.9846605
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[1] 0.9880628
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[1] 0.9870943
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[1] 0.9876602
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[1] 0.9871848
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[1] 0.9844611
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[1] 0.9837365
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[1] 0.9873663
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[1] 0.9866305
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[1] 0.9879765
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[1] 0.9877529
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[1] 0.9879198
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[1] 0.9870481
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[1] 0.9851599
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[1] 0.985638
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[1] 0.9875092
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[1] 0.9871759
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[1] 0.9875274
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[1] 0.9863112
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[1] 0.9868531
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[1] 0.9873717
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[1] 0.9866175
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[1] 0.9855587
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[1] 0.985693
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[1] 0.9871744
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[1] 0.9870136
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[1] 0.9873903
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[1] 0.987069
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[1] 0.9879005
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[1] 0.9858301
[1] "Iteration 737 of 1000:"
[1] 0.9866528
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[1] 0.9882785
[1] "Iteration 739 of 1000:"
[1] 0.9858288
[1] "Iteration 740 of 1000:"
[1] 0.9871545
[1] "Iteration 741 of 1000:"
[1] 0.987857
[1] "Iteration 742 of 1000:"
[1] 0.9866271
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[1] 0.9881223
[1] "Iteration 744 of 1000:"
[1] 0.9855641
[1] "Iteration 745 of 1000:"
[1] 0.9859209
[1] "Iteration 746 of 1000:"
[1] 0.9856319
[1] "Iteration 747 of 1000:"
[1] 0.9869855
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[1] 0.9875033
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[1] 0.986044
[1] "Iteration 750 of 1000:"
[1] 0.9853694
[1] "Iteration 751 of 1000:"
[1] 0.9853109
[1] "Iteration 752 of 1000:"
[1] 0.9865176
[1] "Iteration 753 of 1000:"
[1] 0.9859017
[1] "Iteration 754 of 1000:"
[1] 0.9865966
[1] "Iteration 755 of 1000:"
[1] 0.9889519
[1] "Iteration 756 of 1000:"
[1] 0.9865846
[1] "Iteration 757 of 1000:"
[1] 0.9876787
[1] "Iteration 758 of 1000:"
[1] 0.986854
[1] "Iteration 759 of 1000:"
[1] 0.9878354
[1] "Iteration 760 of 1000:"
[1] 0.9875918
[1] "Iteration 761 of 1000:"
[1] 0.9874307
[1] "Iteration 762 of 1000:"
[1] 0.9889654
[1] "Iteration 763 of 1000:"
[1] 0.9875519
[1] "Iteration 764 of 1000:"
[1] 0.9858403
[1] "Iteration 765 of 1000:"
[1] 0.9858372
[1] "Iteration 766 of 1000:"
[1] 0.9874254
[1] "Iteration 767 of 1000:"
[1] 0.9845099
[1] "Iteration 768 of 1000:"
[1] 0.9871401
[1] "Iteration 769 of 1000:"
[1] 0.9877631
[1] "Iteration 770 of 1000:"
[1] 0.9871037
[1] "Iteration 771 of 1000:"
[1] 0.9890881
[1] "Iteration 772 of 1000:"
[1] 0.9857646
[1] "Iteration 773 of 1000:"
[1] 0.9845099
[1] "Iteration 774 of 1000:"
[1] 0.9871155
[1] "Iteration 775 of 1000:"
[1] 0.9872991
[1] "Iteration 776 of 1000:"
[1] 0.9865063
[1] "Iteration 777 of 1000:"
[1] 0.9876645
[1] "Iteration 778 of 1000:"
[1] 0.9875734
[1] "Iteration 779 of 1000:"
[1] 0.9889485
[1] "Iteration 780 of 1000:"
[1] 0.9861561
[1] "Iteration 781 of 1000:"
[1] 0.9849267
[1] "Iteration 782 of 1000:"
[1] 0.985019
[1] "Iteration 783 of 1000:"
[1] 0.9876587
[1] "Iteration 784 of 1000:"
[1] 0.9877331
[1] "Iteration 785 of 1000:"
[1] 0.9890299
[1] "Iteration 786 of 1000:"
[1] 0.9858106
[1] "Iteration 787 of 1000:"
[1] 0.9858786
[1] "Iteration 788 of 1000:"
[1] 0.9866188
[1] "Iteration 789 of 1000:"
[1] 0.9873494
[1] "Iteration 790 of 1000:"
[1] 0.9874954
[1] "Iteration 791 of 1000:"
[1] 0.9858867
[1] "Iteration 792 of 1000:"
[1] 0.9885436
[1] "Iteration 793 of 1000:"
[1] 0.9874847
[1] "Iteration 794 of 1000:"
[1] 0.9868922
[1] "Iteration 795 of 1000:"
[1] 0.9860426
[1] "Iteration 796 of 1000:"
[1] 0.9860442
[1] "Iteration 797 of 1000:"
[1] 0.9862722
[1] "Iteration 798 of 1000:"
[1] 0.9875575
[1] "Iteration 799 of 1000:"
[1] 0.9874367
[1] "Iteration 800 of 1000:"
[1] 0.9883534
[1] "Iteration 801 of 1000:"
[1] 0.9874367
[1] "Iteration 802 of 1000:"
[1] 0.9866512
[1] "Iteration 803 of 1000:"
[1] 0.9871478
[1] "Iteration 804 of 1000:"
[1] 0.9871762
[1] "Iteration 805 of 1000:"
[1] 0.9863264
[1] "Iteration 806 of 1000:"
[1] 0.9858081
[1] "Iteration 807 of 1000:"
[1] 0.988475
[1] "Iteration 808 of 1000:"
[1] 0.9875596
[1] "Iteration 809 of 1000:"
[1] 0.9875487
[1] "Iteration 810 of 1000:"
[1] 0.9882385
[1] "Iteration 811 of 1000:"
[1] 0.9854915
[1] "Iteration 812 of 1000:"
[1] 0.9875023
[1] "Iteration 813 of 1000:"
[1] 0.9875613
[1] "Iteration 814 of 1000:"
[1] 0.9871818
[1] "Iteration 815 of 1000:"
[1] 0.9877304
[1] "Iteration 816 of 1000:"
[1] 0.9855535
[1] "Iteration 817 of 1000:"
[1] 0.9877352
[1] "Iteration 818 of 1000:"
[1] 0.9847404
[1] "Iteration 819 of 1000:"
[1] 0.9874536
[1] "Iteration 820 of 1000:"
[1] 0.9866318
[1] "Iteration 821 of 1000:"
[1] 0.9879693
[1] "Iteration 822 of 1000:"
[1] 0.9878747
[1] "Iteration 823 of 1000:"
[1] 0.9873326
[1] "Iteration 824 of 1000:"
[1] 0.9861456
[1] "Iteration 825 of 1000:"
[1] 0.9872753
[1] "Iteration 826 of 1000:"
[1] 0.9875666
[1] "Iteration 827 of 1000:"
[1] 0.9872842
[1] "Iteration 828 of 1000:"
[1] 0.9860288
[1] "Iteration 829 of 1000:"
[1] 0.9881881
[1] "Iteration 830 of 1000:"
[1] 0.9872932
[1] "Iteration 831 of 1000:"
[1] 0.9874884
[1] "Iteration 832 of 1000:"
[1] 0.9875675
[1] "Iteration 833 of 1000:"
[1] 0.9860529
[1] "Iteration 834 of 1000:"
[1] 0.9873031
[1] "Iteration 835 of 1000:"
[1] 0.9878458
[1] "Iteration 836 of 1000:"
[1] 0.9854079
[1] "Iteration 837 of 1000:"
[1] 0.98739
[1] "Iteration 838 of 1000:"
[1] 0.9849564
[1] "Iteration 839 of 1000:"
[1] 0.9871199
[1] "Iteration 840 of 1000:"
[1] 0.9874562
[1] "Iteration 841 of 1000:"
[1] 0.9847506
[1] "Iteration 842 of 1000:"
[1] 0.9870448
[1] "Iteration 843 of 1000:"
[1] 0.9854459
[1] "Iteration 844 of 1000:"
[1] 0.9861636
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[1] 0.987344
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[1] 0.9872093
[1] "Iteration 847 of 1000:"
[1] 0.9869247
[1] "Iteration 848 of 1000:"
[1] 0.9886334
[1] "Iteration 849 of 1000:"
[1] 0.9867891
[1] "Iteration 850 of 1000:"
[1] 0.9874727
[1] "Iteration 851 of 1000:"
[1] 0.9877649
[1] "Iteration 852 of 1000:"
[1] 0.9892005
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[1] 0.9877503
[1] "Iteration 854 of 1000:"
[1] 0.9866065
[1] "Iteration 855 of 1000:"
[1] 0.9863725
[1] "Iteration 856 of 1000:"
[1] 0.9851867
[1] "Iteration 857 of 1000:"
[1] 0.9845099
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[1] 0.9855587
[1] "Iteration 859 of 1000:"
[1] 0.9877026
[1] "Iteration 860 of 1000:"
[1] 0.9868536
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[1] 0.9856367
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[1] 0.9873707
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[1] 0.9861138
[1] "Iteration 864 of 1000:"
[1] 0.9869273
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[1] 0.9876043
[1] "Iteration 866 of 1000:"
[1] 0.9868393
[1] "Iteration 867 of 1000:"
[1] 0.9872216
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[1] 0.986616
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[1] 0.9876099
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[1] 0.9875166
[1] "Iteration 871 of 1000:"
[1] 0.9879255
[1] "Iteration 872 of 1000:"
[1] 0.9849511
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[1] 0.9873335
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[1] 0.9879265
[1] "Iteration 875 of 1000:"
[1] 0.9873418
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[1] 0.9871088
[1] "Iteration 877 of 1000:"
[1] 0.9876043
[1] "Iteration 878 of 1000:"
[1] 0.9881187
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[1] 0.9874983
[1] "Iteration 880 of 1000:"
[1] 0.9859573
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[1] 0.9859891
[1] "Iteration 882 of 1000:"
[1] 0.9859273
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[1] 0.985618
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[1] 0.9879005
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[1] 0.987074
[1] "Iteration 886 of 1000:"
[1] 0.9851977
[1] "Iteration 887 of 1000:"
[1] 0.9873891
[1] "Iteration 888 of 1000:"
[1] 0.9880777
[1] "Iteration 889 of 1000:"
[1] 0.9860056
[1] "Iteration 890 of 1000:"
[1] 0.9874851
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[1] 0.9873476
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[1] 0.9875119
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[1] 0.985552
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[1] 0.9875529
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[1] 0.9853581
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[1] 0.9866044
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[1] 0.9876825
[1] "Iteration 898 of 1000:"
[1] 0.9890306
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[1] 0.9862304
[1] "Iteration 900 of 1000:"
[1] 0.9861893
[1] "Iteration 901 of 1000:"
[1] 0.9847489
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[1] 0.9857676
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[1] 0.9861664
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[1] 0.9883531
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[1] 0.9870614
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[1] 0.9854845
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[1] 0.9879466
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[1] 0.9858593
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[1] 0.9873139
[1] "Iteration 910 of 1000:"
[1] 0.9879775
[1] "Iteration 911 of 1000:"
[1] 0.9874769
[1] "Iteration 912 of 1000:"
[1] 0.9880291
[1] "Iteration 913 of 1000:"
[1] 0.987235
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[1] 0.9881031
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[1] 0.9892598
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[1] 0.9878747
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[1] 0.9887511
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[1] 0.9879965
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[1] 0.9881917
[1] "Iteration 920 of 1000:"
[1] 0.9851629
[1] "Iteration 921 of 1000:"
[1] 0.9879289
[1] "Iteration 922 of 1000:"
[1] 0.9880838
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[1] 0.9887753
[1] "Iteration 924 of 1000:"
[1] 0.9861708
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[1] 0.9857777
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[1] 0.9869885
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[1] 0.9865121
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[1] 0.9854867
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[1] 0.9862393
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[1] 0.9876789
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[1] 0.9848579
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[1] 0.9887289
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[1] 0.9864852
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[1] 0.9852295
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[1] 0.9857721
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[1] 0.9877181
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[1] 0.9864211
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[1] 0.9873831
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[1] 0.9868109
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[1] 0.9861122
[1] "Iteration 941 of 1000:"
[1] 0.9848673
[1] "Iteration 942 of 1000:"
[1] 0.9874367
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[1] 0.9853311
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[1] 0.9875543
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[1] 0.9870859
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[1] 0.9850393
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[1] 0.9877209
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[1] 0.9870444
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[1] 0.9877926
[1] "Iteration 950 of 1000:"
[1] 0.9866737
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[1] 0.9846087
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[1] 0.9883605
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[1] 0.9869925
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[1] 0.9863532
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[1] 0.9861912
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[1] 0.9872062
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[1] 0.9878083
[1] "Iteration 958 of 1000:"
[1] 0.9875273
[1] "Iteration 959 of 1000:"
[1] 0.9860078
[1] "Iteration 960 of 1000:"
[1] 0.9855477
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[1] 0.9877758
[1] "Iteration 962 of 1000:"
[1] 0.9877918
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[1] 0.9875899
[1] "Iteration 964 of 1000:"
[1] 0.9873932
[1] "Iteration 965 of 1000:"
[1] 0.9875887
[1] "Iteration 966 of 1000:"
[1] 0.9859846
[1] "Iteration 967 of 1000:"
[1] 0.9877374
[1] "Iteration 968 of 1000:"
[1] 0.9855663
[1] "Iteration 969 of 1000:"
[1] 0.9853107
[1] "Iteration 970 of 1000:"
[1] 0.9878841
[1] "Iteration 971 of 1000:"
[1] 0.9873494
[1] "Iteration 972 of 1000:"
[1] 0.9875435
[1] "Iteration 973 of 1000:"
[1] 0.9856804
[1] "Iteration 974 of 1000:"
[1] 0.9872667
[1] "Iteration 975 of 1000:"
[1] 0.9873022
[1] "Iteration 976 of 1000:"
[1] 0.9864879
[1] "Iteration 977 of 1000:"
[1] 0.9853614
[1] "Iteration 978 of 1000:"
[1] 0.9857895
[1] "Iteration 979 of 1000:"
[1] 0.9857865
[1] "Iteration 980 of 1000:"
[1] 0.9850038
[1] "Iteration 981 of 1000:"
[1] 0.9874423
[1] "Iteration 982 of 1000:"
[1] 0.9878676
[1] "Iteration 983 of 1000:"
[1] 0.9866087
[1] "Iteration 984 of 1000:"
[1] 0.9856375
[1] "Iteration 985 of 1000:"
[1] 0.9859065
[1] "Iteration 986 of 1000:"
[1] 0.9874993
[1] "Iteration 987 of 1000:"
[1] 0.9850606
[1] "Iteration 988 of 1000:"
[1] 0.9838427
[1] "Iteration 989 of 1000:"
[1] 0.987157
[1] "Iteration 990 of 1000:"
[1] 0.9872128
[1] "Iteration 991 of 1000:"
[1] 0.9870754
[1] "Iteration 992 of 1000:"
[1] 0.9875505
[1] "Iteration 993 of 1000:"
[1] 0.9877157
[1] "Iteration 994 of 1000:"
[1] 0.9855951
[1] "Iteration 995 of 1000:"
[1] 0.988367
[1] "Iteration 996 of 1000:"
[1] 0.9848304
[1] "Iteration 997 of 1000:"
[1] 0.9881492
[1] "Iteration 998 of 1000:"
[1] 0.9878558
[1] "Iteration 999 of 1000:"
[1] 0.9878676
[1] "Iteration 1000 of 1000:"
[1] 0.9862437
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 9 ]
> 
> proc.time()
   user  system elapsed 
5195.46   35.26 5230.71