• using R version 2.15.0 Patched (2012-05-26 r59446)
• using platform: i386-pc-solaris2.10 (32-bit)
• using session charset: UTF-8
• checking for file ‘censReg/DESCRIPTION’ ... OK
• this is package ‘censReg’ version ‘0.5-10’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for .dll and .exe files ... OK
• checking whether package ‘censReg’ can be installed ... OK
• checking installed package size ... OK
• checking package directory ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking index information ... OK
• checking package subdirectories ... OK
• checking R files for non-ASCII characters ... OK
• checking R files for syntax errors ... OK
• checking whether the package can be loaded ... OK
• checking whether the package can be loaded with stated dependencies ... OK
• checking whether the package can be unloaded cleanly ... OK
• checking whether the namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking for unstated dependencies in R code ... OK
• checking S3 generic/method consistency ... OK
• checking replacement functions ... OK
• checking foreign function calls ... OK
• checking R code for possible problems ... NOTE
  censReg: no visible binding for global variable ‘validObs2’
• checking Rd files ... OK
• checking Rd metadata ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking Rd contents ... OK
• checking for unstated dependencies in examples ... OK
• checking installed files from ‘inst/doc’ ... OK
• checking examples ... OK
• checking for unstated dependencies in tests ... OK
• checking tests ... [111s/133s] OK
  Running ‘censRegPanelLargerTest.R’
  Comparing ‘censRegPanelLargerTest.Rout’ to ‘censRegPanelLargerTest.Rout.save’ ... OK
  Running ‘censRegPanelTest.R’ [71s/86s]
  Comparing ‘censRegPanelTest.Rout’ to ‘censRegPanelTest.Rout.save’ ...127c127
  < (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.023824162 -0.002973952
  ---
  > (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.023824162 -0.002973952
  129,130c129,130
  < x2 -0.254602886 0.008562225 0.454125882 0.017179543 0.001505438
  < logSigmaMu -0.023824162 0.013404079 0.017179543 0.066600320 -0.002638871
  ---
  > x2 -0.254602886 0.008562225 0.454125881 0.017179542 0.001505438
  > logSigmaMu -0.023824162 0.013404079 0.017179542 0.066600320 -0.002638871
  134c134
  < (Intercept) 0.225109672 -0.020570168 -0.254602886 -0.020929366 -0.002937279
  ---
  > (Intercept) 0.225109671 -0.020570168 -0.254602886 -0.020929366 -0.002937279
  136c136
  < x2 -0.254602886 0.008562225 0.454125882 0.015092113 0.001486874
  ---
  > x2 -0.254602886 0.008562225 0.454125881 0.015092113 0.001486874
  143c143
  < x2 2.24054376 0.6738886 3.32479829 8.848252e-04
  ---
  > x2 2.24054376 0.6738886 3.32479830 8.848252e-04
  170c170
  < 1.712765e-11 4.533476e-11 1.345436e-11 8.223977e-12 6.208001e-11
  ---
  > 1.711386e-11 4.533762e-11 1.344722e-11 8.216400e-12 6.207498e-11
  604c604
  < -0.36897 1.68022 2.24554 -0.12924 -0.01237
  ---
  > -0.36750 1.67993 2.24379 -0.12947 -0.01241
  609c609
  < BFGSR maximization, 75 iterations
  ---
  > BFGSR maximization, 78 iterations
  611c611
  < Log-Likelihood: -73.19885
  ---
  > Log-Likelihood: -73.19883
  615,619c615,619
  < (Intercept) -0.368973 0.474822 -0.7771 0.4371138
  < x1 1.680224 0.209267 8.0291 9.82e-16 ***
  < x2 2.245540 0.674078 3.3313 0.0008645 ***
  < logSigmaMu -0.129235 0.258017 -0.5009 0.6164558
  < logSigmaNu -0.012372 0.129700 -0.0954 0.9240059
  ---
  > (Intercept) -0.367502 0.474613 -0.7743 0.4387426
  > x1 1.679929 0.209229 8.0291 9.816e-16 ***
  > x2 2.243794 0.673969 3.3292 0.0008709 ***
  > logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
  > logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
  634,638c634,638
  < (Intercept) -0.36897 0.47482 -0.777 0.437114
  < x1 1.68022 0.20927 8.029 9.82e-16 ***
  < x2 2.24554 0.67408 3.331 0.000864 ***
  < logSigmaMu -0.12924 0.25802 -0.501 0.616456
  < logSigmaNu -0.01237 0.12970 -0.095 0.924006
  ---
  > (Intercept) -0.36750 0.47461 -0.774 0.438743
  > x1 1.67993 0.20923 8.029 9.82e-16 ***
  > x2 2.24379 0.67397 3.329 0.000871 ***
  > logSigmaMu -0.12947 0.25805 -0.502 0.615848
  > logSigmaNu -0.01241 0.12969 -0.096 0.923774
  642c642
  < BFGSR maximization, 75 iterations
  ---
  > BFGSR maximization, 78 iterations
  644c644
  < Log-likelihood: -73.19885 on 5 Df
  ---
  > Log-likelihood: -73.19883 on 5 Df
  648c648
  < [1] -73.19885
  ---
  > [1] -73.19883
  652c652
  < -0.3689726 1.6802244 2.2455401 -0.1292354 -0.0123720
  ---
  > -0.36750163 1.67992931 2.24379444 -0.12947348 -0.01240886
  656c656
  < 0.0064928289 -0.0003992551 -0.0073348529 -0.0003811772 -0.0002928334
  ---
  > 0.0014212306 0.0034992596 -0.0064419525 0.0003782988 0.0003341343
  660,664c660,664
  < (Intercept) -13.311324 -4.095489 -7.3034029 -2.128782 -1.2957190
  < x1 -4.095489 -26.069912 -1.9891167 4.482226 4.7622275
  < x2 -7.303403 -1.989117 -6.2341158 -0.631599 -0.4565743
  < logSigmaMu -2.128782 4.482226 -0.6315990 -16.675067 -3.7205057
  < logSigmaNu -1.295719 4.762228 -0.4565743 -3.720506 -61.0569573
  ---
  > (Intercept) -13.317517 -4.096146 -7.3057987 -2.1155739 -1.300861
  > x1 -4.096146 -26.075639 -1.9898094 4.4840349 4.755412
  > x2 -7.305799 -1.989809 -6.2353998 -0.6259168 -0.464233
  > logSigmaMu -2.115574 4.484035 -0.6259168 -16.6651955 -3.721179
  > logSigmaNu -1.300861 4.755412 -0.4642330 -3.7211788 -61.065093
  680c680
  < [1] 75
  ---
  > [1] 78
  687,701c687,701
  < [1,] -0.85228027 0.22426009 -0.07322557 -0.1444842 -0.9658743
  < [2,] -1.70282984 0.04717004 -1.19039527 1.6815289 -1.0127855
  < [3,] 1.75022600 0.33321819 1.72570192 1.8353710 1.7979793
  < [4,] 0.15565565 -0.20303166 -0.43318378 -0.6889237 -1.4300810
  < [5,] 0.12984165 0.98325328 0.68801199 -0.6768866 -0.5596254
  < [6,] 0.33023917 -0.30698056 0.38412732 -0.4919067 -1.5813486
  < [7,] -0.08041376 -3.18586488 -0.23691512 -0.6770623 6.0310328
  < [8,] -0.26584583 0.37808343 0.05576046 -0.5389592 -1.1086386
  < [9,] 1.14864459 0.59364807 0.30326930 0.1343571 -1.6158929
  < [10,] -0.43392947 -0.40533684 -0.15210239 -0.4695773 -1.9367092
  < [11,] -0.02789938 1.44960150 -0.64449124 -0.9181253 2.7400373
  < [12,] 1.21002310 0.53783889 0.61172331 0.2051092 -1.7339116
  < [13,] 0.53659249 -0.22542652 0.33129071 -0.3683889 -1.4083659
  < [14,] -1.81430108 -1.30731067 -0.91972872 1.9579936 2.5783369
  < [15,] -0.07723019 1.08647840 -0.45717778 -0.8404267 0.2055538
  ---
  > [1,] -0.85278081 0.2247850 -0.07302970 -0.1442070 -0.9634923
  > [2,] -1.70342425 0.0476419 -1.19055345 1.6820162 -1.0127268
  > [3,] 1.75059965 0.3340379 1.72645582 1.8351650 1.8000202
  > [4,] 0.15552297 -0.2026892 -0.43296702 -0.6893599 -1.4315786
  > [5,] 0.12953233 0.9838683 0.68846571 -0.6770129 -0.5576955
  > [6,] 0.33020957 -0.3070305 0.38415893 -0.4921914 -1.5806796
  > [7,] -0.08124385 -3.1854369 -0.23706941 -0.6768114 6.0284476
  > [8,] -0.26650783 0.3785437 0.05560267 -0.5386742 -1.1090288
  > [9,] 1.14849813 0.5942606 0.30325840 0.1336487 -1.6163416
  > [10,] -0.43466534 -0.4056715 -0.15242875 -0.4690608 -1.9368240
  > [11,] -0.02815366 1.4492071 -0.64446998 -0.9176305 2.7387662
  > [12,] 1.21036511 0.5376472 0.61231215 0.2052291 -1.7342086
  > [13,] 0.53592238 -0.2250517 0.33100094 -0.3690601 -1.4085335
  > [14,] -1.81473915 -1.3068211 -0.91982779 1.9580283 2.5799493
  > [15,] -0.07771403 1.0862084 -0.45735047 -0.8397008 0.2042601
  804c804
  < 4.63174 1.68008 2.24468 -0.12939 -0.01205
  ---
  > 4.62970 1.67974 2.24826 -0.12967 -0.01247
  809,813c809,811
  < BFGSR maximization, 90 iterations
  < Return code 3: Last step could not find a value above the current.
  < Boundary of parameter space?
  < Consider switching to a more robust optimisation method temporarily.
  < Log-Likelihood: -73.19885
  ---
  > BFGSR maximization, 75 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-Likelihood: -73.19889
  817,821c815,819
  < (Intercept) 4.631743 0.474760 9.7560 < 2.2e-16 ***
  < x1 1.680082 0.209308 8.0269 1e-15 ***
  < x2 2.244683 0.674211 3.3293 0.0008705 ***
  < logSigmaMu -0.129395 0.258125 -0.5013 0.6161688
  < logSigmaNu -0.012046 0.129737 -0.0929 0.9260221
  ---
  > (Intercept) 4.629702 0.474777 9.7513 < 2.2e-16 ***
  > x1 1.679738 0.209226 8.0284 9.878e-16 ***
  > x2 2.248262 0.674033 3.3355 0.0008513 ***
  > logSigmaMu -0.129673 0.258097 -0.5024 0.6153734
  > logSigmaNu -0.012466 0.129691 -0.0961 0.9234264
  836,840c834,838
  < (Intercept) 4.63174 0.47476 9.756 < 2e-16 ***
  < x1 1.68008 0.20931 8.027 1e-15 ***
  < x2 2.24468 0.67421 3.329 0.000871 ***
  < logSigmaMu -0.12939 0.25812 -0.501 0.616169
  < logSigmaNu -0.01205 0.12974 -0.093 0.926022
  ---
  > (Intercept) 4.62970 0.47478 9.751 < 2e-16 ***
  > x1 1.67974 0.20923 8.028 9.88e-16 ***
  > x2 2.24826 0.67403 3.336 0.000851 ***
  > logSigmaMu -0.12967 0.25810 -0.502 0.615373
  > logSigmaNu -0.01247 0.12969 -0.096 0.923426
  844,848c842,844
  < BFGSR maximization, 90 iterations
  < Return code 3: Last step could not find a value above the current.
  < Boundary of parameter space?
  < Consider switching to a more robust optimisation method temporarily.
  < Log-likelihood: -73.19885 on 5 Df
  ---
  > BFGSR maximization, 75 iterations
  > Return code 2: successive function values within tolerance limit
  > Log-likelihood: -73.19889 on 5 Df
  852c848
  < 4.63174335 1.68008205 2.24468316 -0.12939475 -0.01204622
  ---
  > 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
  855c851
  < 4.6317434 1.6800820 2.2446832 0.8786271 0.9880260
  ---
  > 4.6297016 1.6797384 2.2482618 0.8783829 0.9876116
  858,862c854,858
  < (Intercept) 0.225396765 -0.020628516 -0.254910181 -0.023950495 -0.003026075
  < x1 -0.020628516 0.043809641 0.008623577 0.013422324 0.002970615
  < x2 -0.254910181 0.008623577 0.454560908 0.017276793 0.001613806
  < logSigmaMu -0.023950495 0.013422324 0.017276793 0.066628414 -0.002637748
  < logSigmaNu -0.003026075 0.002970615 0.001613806 -0.002637748 0.016831788
  ---
  > (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.024058747 -0.003055367
  > x1 -0.020660460 0.043775353 0.008670292 0.013424948 0.002954403
  > x2 -0.254872111 0.008670292 0.454320177 0.017344565 0.001704899
  > logSigmaMu -0.024058747 0.013424948 0.017344565 0.066614118 -0.002644224
  > logSigmaNu -0.003055367 0.002954403 0.001704899 -0.002644224 0.016819840
  865,869c861,865
  < (Intercept) 0.225396765 -0.020628516 -0.254910181 -0.021043553 -0.002989841
  < x1 -0.020628516 0.043809641 0.008623577 0.011793217 0.002935045
  < x2 -0.254910181 0.008623577 0.454560908 0.015179858 0.001594483
  < sigmaMu -0.021043553 0.011793217 0.015179858 0.051436170 -0.002289846
  < sigmaNu -0.002989841 0.002935045 0.001594483 -0.002289846 0.016431115
  ---
  > (Intercept) 0.225413235 -0.020660460 -0.254872111 -0.021132792 -0.003017516
  > x1 -0.020660460 0.043775353 0.008670292 0.011792244 0.002917803
  > x2 -0.254872111 0.008670292 0.454320177 0.015235169 0.001683778
  > sigmaMu -0.021132792 0.011792244 0.015235169 0.051396556 -0.002293867
  > sigmaNu -0.003017516 0.002917803 0.001683778 -0.002293867 0.016405681
  871c867
  < 'log Lik.' -73.19885 (df=5)
  ---
  > 'log Lik.' -73.19889 (df=5)
  873c869
  < [1] -40.0000 156.3977
  ---
  > [1] -40.0000 156.3978
  876c872
  < [1] -73.19885
  ---
  > [1] -73.19889
  880c876
  < 4.63174335 1.68008205 2.24468316 -0.12939475 -0.01204622
  ---
  > 4.62970160 1.67973837 2.24826176 -0.12967269 -0.01246575
  884c880
  < 0.0037186680 0.0029193932 -0.0069883307 -0.0005567257 -0.0207989520
  ---
  > 0.007307875 0.009883823 -0.013334396 0.006186400 0.005241257
  888,892c884,888
  < (Intercept) -13.313117 -4.093675 -7.3029549 -2.1188261 -1.3028403
  < x1 -4.093675 -26.057766 -1.9885419 4.4817334 4.7559199
  < x2 -7.302955 -1.988542 -6.2321064 -0.6268831 -0.4627104
  < logSigmaMu -2.118826 4.481733 -0.6268832 -16.6579108 -3.7222987
  < logSigmaNu -1.302840 4.755920 -0.4627105 -3.7222987 -61.0239546
  ---
  > (Intercept) -13.320457 -4.097602 -7.3082204 -2.1336126 -1.2945958
  > x1 -4.097602 -26.078345 -1.9899709 4.4821291 4.7426563
  > x2 -7.308220 -1.989971 -6.2371991 -0.6321033 -0.4451737
  > logSigmaMu -2.133613 4.482129 -0.6321033 -16.6692492 -3.7313402
  > logSigmaNu -1.294596 4.742656 -0.4451737 -3.7313402 -61.0632866
  895c891
  < [1] 3
  ---
  > [1] 2
  898c894
  < [1] "Last step could not find a value above the current.\nBoundary of parameter space? \nConsider switching to a more robust optimisation method temporarily."
  ---
  > [1] "successive function values within tolerance limit"
  901,903c897
  < $last.step$theta0
  < (Intercept) x1 x2 logSigmaMu logSigmaNu
  < 4.63188390 1.68016973 2.24442694 -0.12939858 -0.01261047
  ---
  > NULL
  905,928d898
  < $last.step$f0
  < [1] -73.19884
  < attr(,"gradient")
  < [,1] [,2] [,3] [,4] [,5]
  < [1,] -0.85286611 0.22463065 -0.07312850 -0.1441534 -0.9639902
  < [2,] -1.70327630 0.04735108 -1.19060781 1.6820194 -1.0128851
  < [3,] 1.75088497 0.33300834 1.72669591 1.8362459 1.8008228
  < [4,] 0.15547835 -0.20296485 -0.43334452 -0.6891200 -1.4302961
  < [5,] 0.12976634 0.98364838 0.68857125 -0.6769830 -0.5579278
  < [6,] 0.33013191 -0.30779587 0.38425939 -0.4919941 -1.5801555
  < [7,] -0.08084964 -3.18729687 -0.23710777 -0.6770477 6.0337712
  < [8,] -0.26608433 0.37826082 0.05573919 -0.5389411 -1.1086524
  < [9,] 1.14875787 0.59391756 0.30331720 0.1340696 -1.6160020
  < [10,] -0.43437430 -0.40590732 -0.15226221 -0.4692178 -1.9363560
  < [11,] -0.02798748 1.44976370 -0.64462137 -0.9181009 2.7411554
  < [12,] 1.21020090 0.53773121 0.61206004 0.2051007 -1.7336842
  < [13,] 0.53652204 -0.22551989 0.33132068 -0.3684760 -1.4079684
  < [14,] -1.81487122 -1.30761887 -0.91991276 1.9587229 2.5805546
  < [15,] -0.07733196 1.08665611 -0.45730799 -0.8402610 0.2056319
  <
  < $last.step$climb
  < [1] 2414644.17 1506434.18 -4401688.73 -65821.89 -9693687.38
  <
  <
  934c904
  < [1] 90
  ---
  > [1] 75
  941,955c911,925
  < [1,] -0.85223165 0.22410265 -0.07323329 -0.1445189 -0.9656273
  < [2,] -1.70314312 0.04723958 -1.19043748 1.6815308 -1.0125828
  < [3,] 1.74999748 0.33428110 1.72542279 1.8339324 1.7973725
  < [4,] 0.15599065 -0.20275591 -0.43246678 -0.6890030 -1.4320766
  < [5,] 0.12964306 0.98332196 0.68784819 -0.6768013 -0.5595598
  < [6,] 0.33045698 -0.30651248 0.38415587 -0.4921826 -1.5819956
  < [7,] -0.08087882 -3.18330503 -0.23684449 -0.6766695 6.0242109
  < [8,] -0.26631185 0.37837805 0.05560644 -0.5385733 -1.1091485
  < [9,] 1.14840648 0.59360799 0.30324741 0.1340985 -1.6165093
  < [10,] -0.43437210 -0.40519882 -0.15233207 -0.4693800 -1.9372154
  < [11,] -0.02816531 1.44855002 -0.64419111 -0.9173293 2.7357612
  < [12,] 1.21034893 0.53758981 0.61219223 0.2056122 -1.7349222
  < [13,] 0.53611086 -0.22501387 0.33104492 -0.3690058 -1.4089585
  < [14,] -1.81433849 -1.30696946 -0.91983764 1.9573550 2.5773949
  < [15,] -0.07779444 1.08560381 -0.45716333 -0.8396220 0.2030574
  ---
  > [1,] -0.85234478 0.22391255 -0.07352168 -0.1446474 -0.9667939
  > [2,] -1.70440691 0.04648408 -1.19187418 1.6836901 -1.0116930
  > [3,] 1.75174657 0.33535241 1.72587454 1.8367494 1.7958201
  > [4,] 0.15579094 -0.20309642 -0.43362554 -0.6891859 -1.4267967
  > [5,] 0.12991963 0.98333538 0.68739315 -0.6767124 -0.5620972
  > [6,] 0.33086011 -0.30311404 0.38387759 -0.4917565 -1.5823937
  > [7,] -0.07989148 -3.18597288 -0.23681005 -0.6769023 6.0302925
  > [8,] -0.26596451 0.37804584 0.05556194 -0.5387087 -1.1089943
  > [9,] 1.14932504 0.59476363 0.30337878 0.1352853 -1.6147885
  > [10,] -0.43413381 -0.40461336 -0.15239416 -0.4696682 -1.9371976
  > [11,] -0.02782997 1.45111717 -0.64509342 -0.9178916 2.7444007
  > [12,] 1.21065533 0.53914179 0.61120668 0.2059469 -1.7330972
  > [13,] 0.53650159 -0.22510291 0.33108334 -0.3687683 -1.4084656
  > [14,] -1.81538737 -1.30822940 -0.92054812 1.9588064 2.5784263
  > [15,] -0.07753252 1.08785999 -0.45784326 -0.8400504 0.2086192
  1021c991
  < 0.36897 -1.68022 -2.24554 -0.12924 -0.01237
  ---
  > 0.36750 -1.67993 -2.24379 -0.12947 -0.01241
  1026c996
  < BFGSR maximization, 75 iterations
  ---
  > BFGSR maximization, 78 iterations
  1028c998
  < Log-Likelihood: -73.19885
  ---
  > Log-Likelihood: -73.19883
  1032,1036c1002,1006
  < (Intercept) 0.368973 0.474822 0.7771 0.4371138
  < x1 -1.680224 0.209267 -8.0291 9.82e-16 ***
  < x2 -2.245540 0.674078 -3.3313 0.0008645 ***
  < logSigmaMu -0.129235 0.258017 -0.5009 0.6164558
  < logSigmaNu -0.012372 0.129700 -0.0954 0.9240059
  ---
  > (Intercept) 0.367502 0.474613 0.7743 0.4387426
  > x1 -1.679929 0.209229 -8.0291 9.816e-16 ***
  > x2 -2.243794 0.673969 -3.3292 0.0008709 ***
  > logSigmaMu -0.129473 0.258047 -0.5017 0.6158482
  > logSigmaNu -0.012409 0.129690 -0.0957 0.9237740
  1052,1056c1022,1026
  < (Intercept) 0.36897 0.47482 0.777 0.437114
  < x1 -1.68022 0.20927 -8.029 9.82e-16 ***
  < x2 -2.24554 0.67408 -3.331 0.000864 ***
  < logSigmaMu -0.12924 0.25802 -0.501 0.616456
  < logSigmaNu -0.01237 0.12970 -0.095 0.924006
  ---
  > (Intercept) 0.36750 0.47461 0.774 0.438743
  > x1 -1.67993 0.20923 -8.029 9.82e-16 ***
  > x2 -2.24379 0.67397 -3.329 0.000871 ***
  > logSigmaMu -0.12947 0.25805 -0.502 0.615848
  > logSigmaNu -0.01241 0.12969 -0.096 0.923774
  1060c1030
  < BFGSR maximization, 75 iterations
  ---
  > BFGSR maximization, 78 iterations
  1062c1032
  < Log-likelihood: -73.19885 on 5 Df
  ---
  > Log-likelihood: -73.19883 on 5 Df
  1066c1036
  < 0.3689726 -1.6802244 -2.2455401 -0.1292354 -0.0123720
  ---
  > 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
  1069c1039
  < 0.3689726 -1.6802244 -2.2455401 0.8787671 0.9877042
  ---
  > 0.3675016 -1.6799293 -2.2437944 0.8785579 0.9876678
  1072,1076c1042,1046
  < (Intercept) 0.225455575 -0.020650638 -0.254883600 0.024003624 0.003026538
  < x1 -0.020650638 0.043792804 0.008642726 -0.013417334 -0.002971707
  < x2 -0.254883600 0.008642726 0.454380768 -0.017287622 -0.001631900
  < logSigmaMu 0.024003624 -0.013417334 -0.017287622 0.066572686 -0.002629984
  < logSigmaNu 0.003026538 -0.002971707 -0.001631900 -0.002629984 0.016822215
  ---
  > (Intercept) 0.22525765 -0.020606031 -0.254727485 0.023900534 0.003010360
  > x1 -0.02060603 0.043776857 0.008606687 -0.013409282 -0.002965503
  > x2 -0.25472748 0.008606687 0.454234549 -0.017236296 -0.001593108
  > logSigmaMu 0.02390053 -0.013409282 -0.017236296 0.066588439 -0.002635405
  > logSigmaNu 0.00301036 -0.002965503 -0.001593108 -0.002635405 0.016819519
  1079,1083c1049,1053
  < (Intercept) 0.225455575 -0.020650638 -0.254883600 0.021093595 0.002989324
  < x1 -0.020650638 0.043792804 0.008642726 -0.011790711 -0.002935168
  < x2 -0.254883600 0.008642726 0.454380768 -0.015191794 -0.001611835
  < sigmaMu 0.021093595 -0.011790711 -0.015191794 0.051409532 -0.002282726
  < sigmaNu 0.002989324 -0.002935168 -0.001611835 -0.002282726 0.016411074
  ---
  > (Intercept) 0.225257647 -0.020606031 -0.254727485 0.020998003 0.002973236
  > x1 -0.020606031 0.043776857 0.008606687 -0.011780830 -0.002928932
  > x2 -0.254727485 0.008606687 0.454234549 -0.015143084 -0.001573462
  > sigmaMu 0.020998003 -0.011780830 -0.015143084 0.051397216 -0.002286802
  > sigmaNu 0.002973236 -0.002928932 -0.001573462 -0.002286802 0.016407234
  1085c1055
  < 'log Lik.' -73.19885 (df=5)
  ---
  > 'log Lik.' -73.19883 (df=5)
  1090c1060
  < [1] -73.19885
  ---
  > [1] -73.19883
  1094c1064
  < 0.3689726 -1.6802244 -2.2455401 -0.1292354 -0.0123720
  ---
  > 0.36750163 -1.67992931 -2.24379444 -0.12947348 -0.01240886
  1098c1068
  < -0.0064928289 0.0003992551 0.0073348529 -0.0003811772 -0.0002928334
  ---
  > -0.0014212306 -0.0034992596 0.0064419525 0.0003782988 0.0003341343
  1102,1106c1072,1076
  < (Intercept) -13.311324 -4.095489 -7.3034029 2.128782 1.2957190
  < x1 -4.095489 -26.069912 -1.9891167 -4.482226 -4.7622275
  < x2 -7.303403 -1.989117 -6.2341158 0.631599 0.4565743
  < logSigmaMu 2.128782 -4.482226 0.6315990 -16.675067 -3.7205057
  < logSigmaNu 1.295719 -4.762228 0.4565743 -3.720506 -61.0569573
  ---
  > (Intercept) -13.317517 -4.096146 -7.3057987 2.1155739 1.300861
  > x1 -4.096146 -26.075639 -1.9898094 -4.4840349 -4.755412
  > x2 -7.305799 -1.989809 -6.2353998 0.6259168 0.464233
  > logSigmaMu 2.115574 -4.484035 0.6259168 -16.6651955 -3.721179
  > logSigmaNu 1.300861 -4.755412 0.4642330 -3.7211788 -61.065093
  1122c1092
  < [1] 75
  ---
  > [1] 78
  1129,1143c1099,1113
  < [1,] 0.85228027 -0.22426009 0.07322557 -0.1444842 -0.9658743
  < [2,] 1.70282984 -0.04717004 1.19039527 1.6815289 -1.0127855
  < [3,] -1.75022600 -0.33321819 -1.72570192 1.8353710 1.7979793
  < [4,] -0.15565565 0.20303166 0.43318378 -0.6889237 -1.4300810
  < [5,] -0.12984165 -0.98325328 -0.68801199 -0.6768866 -0.5596254
  < [6,] -0.33023917 0.30698056 -0.38412732 -0.4919067 -1.5813486
  < [7,] 0.08041376 3.18586488 0.23691512 -0.6770623 6.0310328
  < [8,] 0.26584583 -0.37808343 -0.05576046 -0.5389592 -1.1086386
  < [9,] -1.14864459 -0.59364807 -0.30326930 0.1343571 -1.6158929
  < [10,] 0.43392947 0.40533684 0.15210239 -0.4695773 -1.9367092
  < [11,] 0.02789938 -1.44960150 0.64449124 -0.9181253 2.7400373
  < [12,] -1.21002310 -0.53783889 -0.61172331 0.2051092 -1.7339116
  < [13,] -0.53659249 0.22542652 -0.33129071 -0.3683889 -1.4083659
  < [14,] 1.81430108 1.30731067 0.91972872 1.9579936 2.5783369
  < [15,] 0.07723019 -1.08647840 0.45717778 -0.8404267 0.2055538
  ---
  > [1,] 0.85278081 -0.2247850 0.07302970 -0.1442070 -0.9634923
  > [2,] 1.70342425 -0.0476419 1.19055345 1.6820162 -1.0127268
  > [3,] -1.75059965 -0.3340379 -1.72645582 1.8351650 1.8000202
  > [4,] -0.15552297 0.2026892 0.43296702 -0.6893599 -1.4315786
  > [5,] -0.12953233 -0.9838683 -0.68846571 -0.6770129 -0.5576955
  > [6,] -0.33020957 0.3070305 -0.38415893 -0.4921914 -1.5806796
  > [7,] 0.08124385 3.1854369 0.23706941 -0.6768114 6.0284476
  > [8,] 0.26650783 -0.3785437 -0.05560267 -0.5386742 -1.1090288
  > [9,] -1.14849813 -0.5942606 -0.30325840 0.1336487 -1.6163416
  > [10,] 0.43466534 0.4056715 0.15242875 -0.4690608 -1.9368240
  > [11,] 0.02815366 -1.4492071 0.64446998 -0.9176305 2.7387662
  > [12,] -1.21036511 -0.5376472 -0.61231215 0.2052291 -1.7342086
  > [13,] -0.53592238 0.2250517 -0.33100094 -0.3690601 -1.4085335
  > [14,] 1.81473915 1.3068211 0.91982779 1.9580283 2.5799493
  > [15,] 0.07771403 -1.0862084 0.45735047 -0.8397008 0.2042601
  1210c1180
  < -4.63345 -1.68003 -2.24189 -0.12942 -0.01238
  ---
  > -4.63391 -1.68002 -2.24127 -0.12953 -0.01241
  1215c1185
  < BFGSR maximization, 74 iterations
  ---
  > BFGSR maximization, 73 iterations
  1217c1187
  < Log-Likelihood: -73.19883
  ---
  > Log-Likelihood: -73.19882
  1221,1225c1191,1195
  < (Intercept) -4.633448 0.474572 -9.7634 < 2.2e-16 ***
  < x1 -1.680032 0.209235 -8.0294 9.794e-16 ***
  < x2 -2.241889 0.673951 -3.3265 0.0008795 ***
  < logSigmaMu -0.129417 0.258049 -0.5015 0.6160034
  < logSigmaNu -0.012385 0.129694 -0.0955 0.9239229
  ---
  > (Intercept) -4.633912 0.474500 -9.7659 < 2.2e-16 ***
  > x1 -1.680022 0.209226 -8.0297 9.772e-16 ***
  > x2 -2.241274 0.673908 -3.3258 0.0008817 ***
  > logSigmaMu -0.129526 0.258065 -0.5019 0.6157303
  > logSigmaNu -0.012412 0.129690 -0.0957 0.9237579
  1241,1245c1211,1215
  < (Intercept) -4.63345 0.47457 -9.763 < 2e-16 ***
  < x1 -1.68003 0.20923 -8.029 9.79e-16 ***
  < x2 -2.24189 0.67395 -3.326 0.000879 ***
  < logSigmaMu -0.12942 0.25805 -0.502 0.616003
  < logSigmaNu -0.01238 0.12969 -0.095 0.923923
  ---
  > (Intercept) -4.63391 0.47450 -9.766 < 2e-16 ***
  > x1 -1.68002 0.20923 -8.030 9.77e-16 ***
  > x2 -2.24127 0.67391 -3.326 0.000882 ***
  > logSigmaMu -0.12953 0.25807 -0.502 0.615730
  > logSigmaNu -0.01241 0.12969 -0.096 0.923758
  1249c1219
  < BFGSR maximization, 74 iterations
  ---
  > BFGSR maximization, 73 iterations
  1251c1221
  < Log-likelihood: -73.19883 on 5 Df
  ---
  > Log-likelihood: -73.19882 on 5 Df
  1255c1225
  < -4.63344813 -1.68003162 -2.24188917 -0.12941749 -0.01238491
  ---
  > -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
  1258c1228
  < -4.6334481 -1.6800316 -2.2418892 0.8786071 0.9876915
  ---
  > -4.6339117 -1.6800223 -2.2412745 0.8785119 0.9876652
  1261,1265c1231,1235
  < (Intercept) 0.225218389 -0.020592616 -0.254689858 0.023875045 0.002988154
  < x1 -0.020592616 0.043779166 0.008583649 -0.013407131 -0.002969536
  < x2 -0.254689858 0.008583649 0.454209659 -0.017208005 -0.001539476
  < logSigmaMu 0.023875045 -0.013407131 -0.017208005 0.066589396 -0.002635292
  < logSigmaNu 0.002988154 -0.002969536 -0.001539476 -0.002635292 0.016820460
  ---
  > (Intercept) 0.225149823 -0.020580559 -0.254635601 0.023847765 0.002981648
  > x1 -0.020580559 0.043775600 0.008573460 -0.013405916 -0.002969797
  > x2 -0.254635601 0.008573460 0.454151985 -0.017194816 -0.001524188
  > logSigmaMu 0.023847765 -0.013405916 -0.017194816 0.066597765 -0.002638193
  > logSigmaNu 0.002981648 -0.002969797 -0.001524188 -0.002638193 0.016819556
  1268,1272c1238,1242
  < (Intercept) 0.225218389 -0.020592616 -0.254689858 0.020976784 0.002951374
  < x1 -0.020592616 0.043779166 0.008583649 -0.011779600 -0.002932986
  < x2 -0.254689858 0.008583649 0.454209659 -0.015119075 -0.001520527
  < sigmaMu 0.020976784 -0.011779600 -0.015119075 0.051403711 -0.002286887
  < sigmaNu 0.002951374 -0.002932986 -0.001520527 -0.002286887 0.016408938
  ---
  > (Intercept) 0.22514982 -0.020580559 -0.254635601 0.020950545 0.002944870
  > x1 -0.02058056 0.043775600 0.008573460 -0.011777256 -0.002933165
  > x2 -0.25463560 0.008573460 0.454151985 -0.015105851 -0.001505387
  > sigmaMu 0.02095055 -0.011777256 -0.015105851 0.051399034 -0.002289095
  > sigmaNu 0.00294487 -0.002933165 -0.001505387 -0.002289095 0.016407183
  1274c1244
  < 'log Lik.' -73.19883 (df=5)
  ---
  > 'log Lik.' -73.19882 (df=5)
  1276c1246
  < [1] -40.0000 156.3977
  ---
  > [1] -40.0000 156.3976
  1279c1249
  < [1] -73.19883
  ---
  > [1] -73.19882
  1283c1253
  < -4.63344813 -1.68003162 -2.24188917 -0.12941749 -0.01238491
  ---
  > -4.63391165 -1.68002232 -2.24127447 -0.12952582 -0.01241152
  1287c1257
  < -0.002123379 -0.001097557 0.001750638 -0.001000990 -0.001194157
  ---
  > -7.425390e-04 -5.237316e-05 1.205358e-03 2.666987e-04 4.763349e-04
  1291,1295c1261,1265
  < (Intercept) -13.318039 -4.096067 -7.3059268 2.1140282 1.3053575
  < x1 -4.096067 -26.074472 -1.9900493 -4.4838891 -4.7602386
  < x2 -7.305927 -1.990049 -6.2353537 0.6262198 0.4739945
  < logSigmaMu 2.114028 -4.483889 0.6262198 -16.6635744 -3.7205550
  < logSigmaNu 1.305357 -4.760239 0.4739945 -3.7205550 -61.0632132
  ---
  > (Intercept) -13.321012 -4.096571 -7.3072433 2.1105735 1.306995
  > x1 -4.096571 -26.076360 -1.9903898 -4.4846924 -4.761848
  > x2 -7.307243 -1.990390 -6.2361292 0.6247544 0.476812
  > logSigmaMu 2.110574 -4.484692 0.6247544 -16.6602022 -3.722583
  > logSigmaNu 1.306995 -4.761848 0.4768120 -3.7225828 -61.067774
  1311c1281
  < [1] 74
  ---
  > [1] 73
  1318,1332c1288,1302
  < [1,] 0.85275514 -0.22534491 0.07271508 -0.1441970 -0.9623202
  < [2,] 1.70286518 -0.04818128 1.18988744 1.6807757 -1.0132038
  < [3,] -1.75056654 -0.33362480 -1.72697428 1.8353402 1.8023729
  < [4,] -0.15571749 0.20254578 0.43249809 -0.6890524 -1.4338496
  < [5,] -0.12958960 -0.98407082 -0.68904279 -0.6770001 -0.5557862
  < [6,] -0.33033784 0.30852285 -0.38453561 -0.4920214 -1.5800185
  < [7,] 0.08164059 3.18524280 0.23714256 -0.6767764 6.0278292
  < [8,] 0.26656629 -0.37867125 -0.05569219 -0.5387071 -1.1089617
  < [9,] -1.14829765 -0.59395413 -0.30326195 0.1332924 -1.6168694
  < [10,] 0.43465353 0.40601567 0.15231947 -0.4690380 -1.9366085
  < [11,] 0.02823325 -1.44841456 0.64417582 -0.9175583 2.7363646
  < [12,] -1.21029146 -0.53700635 -0.61281975 0.2053672 -1.7347809
  < [13,] -0.53606439 0.22524389 -0.33118075 -0.3689196 -1.4083742
  < [14,] 1.81434156 1.30610154 0.91943830 1.9572294 2.5804800
  < [15,] 0.07768606 -1.08550200 0.45708121 -0.8397356 0.2025321
  ---
  > [1,] 0.85300597 -0.22538442 0.07270967 -0.1440551 -0.9615875
  > [2,] 1.70313415 -0.04819704 1.19001008 1.6809910 -1.0132088
  > [3,] -1.75081925 -0.33365931 -1.72733510 1.8354213 1.8035220
  > [4,] -0.15575929 0.20248810 0.43239154 -0.6891027 -1.4343552
  > [5,] -0.12954290 -0.98419670 -0.68923518 -0.6769998 -0.5551304
  > [6,] -0.33034949 0.30889860 -0.38462520 -0.4921179 -1.5796319
  > [7,] 0.08189456 3.18535013 0.23720553 -0.6766812 6.0277787
  > [8,] 0.26673068 -0.37878111 -0.05566019 -0.5386220 -1.1090629
  > [9,] -1.14832130 -0.59395010 -0.30328878 0.1331873 -1.6170652
  > [10,] 0.43493369 0.40626633 0.15243113 -0.4688524 -1.9365296
  > [11,] 0.02832945 -1.44822208 0.64415440 -0.9173654 2.7358109
  > [12,] -1.21044619 -0.53688713 -0.61307141 0.2055182 -1.7349351
  > [13,] -0.53600998 0.22524959 -0.33118372 -0.3690370 -1.4082862
  > [14,] 1.81463246 1.30632858 0.91958449 1.9574877 2.5811938
  > [15,] 0.07784490 -1.08535582 0.45711810 -0.8395052 0.2019637
  1399c1369
  < -0.233164 1.893373 1.968659 0.001443 0.052819
  ---
  > -0.233782 1.893280 1.969602 0.001543 0.052867
  1404c1374
  < BFGSR maximization, 98 iterations
  ---
  > BFGSR maximization, 96 iterations
  1408c1378
  < Log-Likelihood: -64.31274
  ---
  > Log-Likelihood: -64.31273
  1412,1416c1382,1386
  < (Intercept) -0.2331635 0.5482191 -0.4253 0.67061
  < x1 1.8933733 0.3011238 6.2877 3.222e-10 ***
  < x2 1.9686590 0.8187171 2.4046 0.01619 *
  < logSigmaMu 0.0014432 0.2779049 0.0052 0.99586
  < logSigmaNu 0.0528193 0.1630143 0.3240 0.74593
  ---
  > (Intercept) -0.2337822 0.5483289 -0.4264 0.66985
  > x1 1.8932801 0.3011173 6.2875 3.226e-10 ***
  > x2 1.9696025 0.8188341 2.4054 0.01616 *
  > logSigmaMu 0.0015433 0.2778758 0.0056 0.99557
  > logSigmaNu 0.0528675 0.1630158 0.3243 0.74570
  1432,1436c1402,1406
  < (Intercept) -0.233164 0.548219 -0.425 0.6706
  < x1 1.893373 0.301124 6.288 3.22e-10 ***
  < x2 1.968659 0.818717 2.405 0.0162 *
  < logSigmaMu 0.001443 0.277905 0.005 0.9959
  < logSigmaNu 0.052819 0.163014 0.324 0.7459
  ---
  > (Intercept) -0.233782 0.548329 -0.426 0.6698
  > x1 1.893280 0.301117 6.288 3.23e-10 ***
  > x2 1.969602 0.818834 2.405 0.0162 *
  > logSigmaMu 0.001543 0.277876 0.006 0.9956
  > logSigmaNu 0.052867 0.163016 0.324 0.7457
  1440c1410
  < BFGSR maximization, 98 iterations
  ---
  > BFGSR maximization, 96 iterations
  1444c1414
  < Log-likelihood: -64.31274 on 5 Df
  ---
  > Log-likelihood: -64.31273 on 5 Df
  1458,1462c1428,1432
  < (Intercept) -0.2332 0.5482 -0.425 0.67061
  < x1 1.8934 0.3011 6.288 3.22e-10 ***
  < x2 1.9687 0.8187 2.405 0.01619 *
  < sigmaMu 1.0014 0.2783 3.598 0.00032 ***
  < sigmaNu 1.0542 0.1719 6.134 8.55e-10 ***
  ---
  > (Intercept) -0.2338 0.5483 -0.426 0.66985
  > x1 1.8933 0.3011 6.288 3.23e-10 ***
  > x2 1.9696 0.8188 2.405 0.01616 *
  > sigmaMu 1.0015 0.2783 3.599 0.00032 ***
  > sigmaNu 1.0543 0.1719 6.134 8.55e-10 ***
  1466c1436
  < BFGSR maximization, 98 iterations
  ---
  > BFGSR maximization, 96 iterations
  1470c1440
  < Log-likelihood: -64.31274 on 5 Df
  ---
  > Log-likelihood: -64.31273 on 5 Df
  1474c1444
  < -0.233163528 1.893373322 1.968659037 0.001443208 0.052819258
  ---
  > -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
  1477c1447
  < -0.2331635 1.8933733 1.9686590 1.0014442 1.0542391
  ---
  > -0.2337822 1.8932801 1.9696025 1.0015445 1.0542899
  1480,1484c1450,1454
  < (Intercept) 0.30054416 -0.03138024 -0.36393894 -0.015929104 -0.016363279
  < x1 -0.03138024 0.09067557 0.03178110 0.035200331 0.015933733
  < x2 -0.36393894 0.03178110 0.67029763 0.018611126 0.024461862
  < logSigmaMu -0.01592910 0.03520033 0.01861113 0.077231140 0.004330562
  < logSigmaNu -0.01636328 0.01593373 0.02446186 0.004330562 0.026573670
  ---
  > (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015974524 -0.016384019
  > x1 -0.03140943 0.09067161 0.03182344 0.035194978 0.015930682
  > x2 -0.36406867 0.03182344 0.67048933 0.018652238 0.024503878
  > logSigmaMu -0.01597452 0.03519498 0.01865224 0.077214979 0.004337456
  > logSigmaNu -0.01638402 0.01593068 0.02450388 0.004337456 0.026574149
  1487,1491c1457,1461
  < (Intercept) 0.30054416 -0.03138024 -0.36393894 -0.015952109 -0.017250808
  < x1 -0.03138024 0.09067557 0.03178110 0.035251169 0.016797964
  < x2 -0.36393894 0.03178110 0.67029763 0.018638005 0.025788651
  < sigmaMu -0.01595211 0.03525117 0.01863801 0.077454383 0.004572041
  < sigmaNu -0.01725081 0.01679796 0.02578865 0.004572041 0.029534510
  ---
  > (Intercept) 0.30066457 -0.03140943 -0.36406867 -0.015999196 -0.017273506
  > x1 -0.03140943 0.09067161 0.03182344 0.035249335 0.016795557
  > x2 -0.36406867 0.03182344 0.67048933 0.018681045 0.025834191
  > sigmaMu -0.01599920 0.03524934 0.01868105 0.077453673 0.004579999
  > sigmaNu -0.01727351 0.01679556 0.02583419 0.004579999 0.029537890
  1494,1498c1464,1468
  < (Intercept) -0.233163528 0.5482191 -0.425310858 6.706101e-01
  < x1 1.893373322 0.3011238 6.287689820 3.222249e-10
  < x2 1.968659037 0.8187171 2.404565781 1.619169e-02
  < logSigmaMu 0.001443208 0.2779049 0.005193171 9.958565e-01
  < logSigmaNu 0.052819258 0.1630143 0.324016047 7.459259e-01
  ---
  > (Intercept) -0.23378216 0.5483289 -0.426353903 6.698500e-01
  > x1 1.89328013 0.3011173 6.287517678 3.225823e-10
  > x2 1.96960246 0.8188341 2.405374171 1.615591e-02
  > logSigmaMu 0.00154326 0.2778758 0.005553777 9.955687e-01
  > logSigmaNu 0.05286747 0.1630158 0.324308863 7.457042e-01
  1501,1505c1471,1475
  < (Intercept) -0.2331635 0.5482191 -0.4253109 6.706101e-01
  < x1 1.8933733 0.3011238 6.2876898 3.222249e-10
  < x2 1.9686590 0.8187171 2.4045658 1.619169e-02
  < sigmaMu 1.0014442 0.2783063 3.5983531 3.202386e-04
  < sigmaNu 1.0542391 0.1718561 6.1344302 8.546497e-10
  ---
  > (Intercept) -0.2337822 0.5483289 -0.4263539 6.698500e-01
  > x1 1.8932801 0.3011173 6.2875177 3.225823e-10
  > x2 1.9696025 0.8188341 2.4053742 1.615591e-02
  > sigmaMu 1.0015445 0.2783050 3.5987296 3.197754e-04
  > sigmaNu 1.0542899 0.1718659 6.1343749 8.549467e-10
  1507c1477
  < 'log Lik.' -64.31274 (df=5)
  ---
  > 'log Lik.' -64.31273 (df=5)
  1512c1482
  < [1] -64.31274
  ---
  > [1] -64.31273
  1516c1486
  < -0.233163528 1.893373322 1.968659037 0.001443208 0.052819258
  ---
  > -0.23378216 1.89328013 1.96960246 0.00154326 0.05286747
  1520c1490
  < -0.0041473684 -0.0051865903 0.0033513467 0.0050622214 -0.0008288673
  ---
  > -0.002894857 -0.002369745 0.002610000 0.003016516 -0.002543448
  1524,1528c1494,1498
  < (Intercept) -9.93258241 -1.4924633 -5.3083777 -0.07105177 -0.3231998
  < x1 -1.49246330 -15.1391321 -0.5459765 6.29572192 7.6351094
  < x2 -5.30837773 -0.5459765 -4.3916841 0.15192034 1.0765487
  < logSigmaMu -0.07105177 6.2957219 0.1519203 -15.79119804 -1.3851486
  < logSigmaNu -0.32319976 7.6351094 1.0765487 -1.38514864 -43.1735736
  ---
  > (Intercept) -9.92921213 -1.4915778 -5.3068262 -0.07430279 -0.3220588
  > x1 -1.49157779 -15.1380768 -0.5453987 6.29452164 7.6308755
  > x2 -5.30682618 -0.5453987 -4.3907451 0.15071751 1.0791686
  > logSigmaMu -0.07430279 6.2945216 0.1507175 -15.79417345 -1.3802899
  > logSigmaNu -0.32205878 7.6308755 1.0791686 -1.38028985 -43.1734818
  1539c1509
  < -0.233189899 1.893257091 1.968607106 0.001567975 0.053008478
  ---
  > -0.233805135 1.893310605 1.969641022 0.001551443 0.052675686
  1542c1512
  < [1] -64.31274
  ---
  > [1] -64.31273
  1545,1559c1515,1529
  < [1,] -0.85392605 -0.10588269 -0.18130223 -0.02363337 -0.8369960
  < [2,] -1.41663120 -0.02671529 -0.97166615 1.45614039 -1.1646312
  < [3,] 1.29726305 1.02109247 0.92541155 1.09169162 0.1539384
  < [4,] 0.07115894 -0.25181397 -0.39770264 -0.70150252 -1.8279459
  < [5,] 0.08915680 0.80755253 0.64764588 -0.69055471 -0.2844977
  < [6,] 0.55931255 0.49466018 0.42897702 -0.29143892 -0.3609230
  < [7,] -0.12062484 -3.05984338 -0.23664233 -0.70604251 6.3390659
  < [8,] -0.20983988 0.33567690 0.08320837 -0.59041416 -1.0298115
  < [9,] 1.03411270 0.66013108 0.28829153 0.19692385 -1.2973807
  < [10,] -0.42834195 -0.58534667 -0.11737630 -0.39581868 -1.8009958
  < [11,] -0.04099814 1.09415892 -0.50803438 -0.86636256 1.9991061
  < [12,] 1.14046625 0.50499991 0.83247307 0.58551283 -0.7453401
  < [13,] 0.53449675 -0.28148136 0.34772731 -0.28695111 -1.4341779
  < [14,] -1.63769616 -1.34664334 -0.83773087 2.11872498 2.7637439
  < [15,] -0.02141537 0.73832478 -0.29927452 -0.89418223 -0.4832584
  ---
  > [1,] -0.85417510 -0.10609337 -0.18146777 -0.0235494 -0.8369719
  > [2,] -1.41680128 -0.02702422 -0.97196805 1.4567554 -1.1645981
  > [3,] 1.29745993 1.02088535 0.92544703 1.0920903 0.1540724
  > [4,] 0.07075595 -0.25207707 -0.39840982 -0.7015966 -1.8261020
  > [5,] 0.08922410 0.80745931 0.64769792 -0.6906630 -0.2847701
  > [6,] 0.55923778 0.49468626 0.42897976 -0.2914444 -0.3603540
  > [7,] -0.12034788 -3.06219247 -0.23674144 -0.7063845 6.3455056
  > [8,] -0.20961505 0.33550846 0.08326478 -0.5906480 -1.0295346
  > [9,] 1.03436546 0.66021829 0.28832659 0.1971790 -1.2970105
  > [10,] -0.42828980 -0.58564682 -0.11733332 -0.3957152 -1.8006439
  > [11,] -0.04064163 1.09509187 -0.50821521 -0.8668820 2.0017961
  > [12,] 1.14034027 0.50533928 0.83221911 0.5852838 -0.7450190
  > [13,] 0.53486256 -0.28181457 0.34791505 -0.2865027 -1.4336469
  > [14,] -1.63819150 -1.34761986 -0.83803596 2.1201245 2.7646850
  > [15,] -0.02103951 0.73904950 -0.29933851 -0.8946959 -0.4814000
  1562c1532
  < [1] -453059.0 -1996826.1 -892166.5 2143490.3 3250783.3
  ---
  > [1] -394657.2 523581.9 662476.4 140569.0 -3294770.3
  1570c1540
  < [1] 98
  ---
  > [1] 96
  1577,1591c1547,1561
  < [1,] -0.85428627 -0.10613621 -0.1814556 -0.02333039 -0.8366981
  < [2,] -1.41699580 -0.02703456 -0.9719951 1.45678481 -1.1646448
  < [3,] 1.29751460 1.02090174 0.9255550 1.09194142 0.1541528
  < [4,] 0.07108353 -0.25196443 -0.3979352 -0.70152504 -1.8273052
  < [5,] 0.08916834 0.80747522 0.6477693 -0.69057088 -0.2843237
  < [6,] 0.55934787 0.49445680 0.4290872 -0.29146303 -0.3603595
  < [7,] -0.12064616 -3.06126582 -0.2367436 -0.70607245 6.3429099
  < [8,] -0.20979738 0.33562798 0.0832274 -0.59045770 -1.0297348
  < [9,] 1.03433042 0.65998737 0.2883585 0.19712697 -1.2973580
  < [10,] -0.42860130 -0.58582265 -0.1174657 -0.39559584 -1.8005488
  < [11,] -0.04100082 1.09435370 -0.5081301 -0.86629079 1.9998500
  < [12,] 1.14059903 0.50505641 0.8325826 0.58559054 -0.7452124
  < [13,] 0.53476911 -0.28175091 0.3478973 -0.28676536 -1.4336777
  < [14,] -1.63826534 -1.34757891 -0.8380798 2.11988274 2.7649920
  < [15,] -0.02136722 0.73850768 -0.2993208 -0.89419278 -0.4828705
  ---
  > [1,] -0.85399301 -0.10602099 -0.18140766 -0.02364687 -0.8371385
  > [2,] -1.41680831 -0.02700922 -0.97193915 1.45664700 -1.1645431
  > [3,] 1.29738032 1.02095947 0.92539297 1.09190281 0.1539769
  > [4,] 0.07100562 -0.25197861 -0.39807733 -0.70154825 -1.8266607
  > [5,] 0.08922699 0.80745668 0.64756678 -0.69055935 -0.2850413
  > [6,] 0.55925418 0.49480489 0.42892323 -0.29147726 -0.3608594
  > [7,] -0.12039508 -3.06089075 -0.23666324 -0.70622873 6.3420715
  > [8,] -0.20969533 0.33555238 0.08322106 -0.59050851 -1.0297117
  > [9,] 1.03428932 0.66016070 0.28831450 0.19721031 -1.2971304
  > [10,] -0.42828624 -0.58538485 -0.11736408 -0.39582567 -1.8009247
  > [11,] -0.04081588 1.09472020 -0.50816401 -0.86667778 2.0006839
  > [12,] 1.14045635 0.50528295 0.83226925 0.58550194 -0.7452782
  > [13,] 0.53470207 -0.28162570 0.34780933 -0.28674186 -1.4339655
  > [14,] -1.63795687 -1.34717561 -0.83791582 2.11940059 2.7641334
  > [15,] -0.02125898 0.73877872 -0.29935581 -0.89443186 -0.4821556
  1658,1662c1628,1632
  < [1] "Component 1: Mean relative difference: 3.903765e-07"
  < [2] "Component 2: Mean relative difference: 0.002293937"
  < [3] "Component 3: Mean relative difference: 4.584576"
  < [4] "Component 4: Mean relative difference: 0.001170341"
  < [5] "Component 9: Mean relative difference: 0.01351351"
  ---
  > [1] "Component 1: Mean relative difference: 1.585932e-07"
  > [2] "Component 2: Mean relative difference: 0.0009942645"
  > [3] "Component 3: Mean relative difference: 5.267562"
  > [4] "Component 4: Mean relative difference: 0.000453646"
  > [5] "Component 9: Mean relative difference: 0.2352941"
  1664c1634
  < [1] "Mean relative difference: 0.001412049"
  ---
  > [1] "Mean relative difference: 0.0006692936"
  1698c1668
  < [1] 2.85751e-05
  ---
  > [1] 1.160884e-05
  1700c1670
  < [1] -2.85751e-05
  ---
  > [1] -1.160884e-05
  1724c1694
  < -0.22142 1.64031 2.10596 -0.16743 -0.00149
  ---
  > -0.223438 1.640494 2.109440 -0.167351 -0.001139
  1729c1699
  < BFGSR maximization, 77 iterations
  ---
  > BFGSR maximization, 91 iterations
  1731c1701
  < Log-Likelihood: -71.1926
  ---
  > Log-Likelihood: -71.19256
  1735,1739c1705,1709
  < (Intercept) -0.2214248 0.4723497 -0.4688 0.639232
  < x1 1.6403078 0.2109672 7.7752 7.534e-15 ***
  < x2 2.1059649 0.6845982 3.0762 0.002097 **
  < logSigmaMu -0.1674279 0.2714518 -0.6168 0.537375
  < logSigmaNu -0.0014903 0.1322345 -0.0113 0.991008
  ---
  > (Intercept) -0.2234379 0.4725748 -0.4728 0.63635
  > x1 1.6404941 0.2110522 7.7729 7.669e-15 ***
  > x2 2.1094395 0.6848755 3.0800 0.00207 **
  > logSigmaMu -0.1673511 0.2714906 -0.6164 0.53762
  > logSigmaNu -0.0011386 0.1322729 -0.0086 0.99313
  1754,1758c1724,1728
  < (Intercept) -0.22143 0.47235 -0.469 0.6392
  < x1 1.64031 0.21097 7.775 7.53e-15 ***
  < x2 2.10596 0.68460 3.076 0.0021 **
  < logSigmaMu -0.16743 0.27145 -0.617 0.5374
  < logSigmaNu -0.00149 0.13223 -0.011 0.9910
  ---
  > (Intercept) -0.223438 0.472575 -0.473 0.63635
  > x1 1.640494 0.211052 7.773 7.67e-15 ***
  > x2 2.109440 0.684875 3.080 0.00207 **
  > logSigmaMu -0.167351 0.271491 -0.616 0.53762
  > logSigmaNu -0.001139 0.132273 -0.009 0.99313
  1762c1732
  < BFGSR maximization, 77 iterations
  ---
  > BFGSR maximization, 91 iterations
  1764c1734
  < Log-likelihood: -71.1926 on 5 Df
  ---
  > Log-likelihood: -71.19256 on 5 Df
  1767c1737
  < 'log Lik.' -71.1926 (df=5)
  ---
  > 'log Lik.' -71.19256 (df=5)
  1769c1739
  < [1] -36.0000 152.3852
  ---
  > [1] -36.0000 152.3851
  1772c1742
  < [1] -71.1926
  ---
  > [1] -71.19256
  1776c1746
  < -0.221424836 1.640307838 2.105964856 -0.167427947 -0.001490286
  ---
  > -0.223437886 1.640494086 2.109439512 -0.167351143 -0.001138553
  1780c1750
  < -0.002388477 0.001639947 0.011741152 -0.001353708 0.019688912
  ---
  > -0.0023645994 0.0002134735 0.0043525355 -0.0012274752 -0.0003310896
  1784,1788c1754,1758
  < (Intercept) -13.796616 -4.348878 -7.5316535 -1.1084409 -1.946350
  < x1 -4.348878 -25.830372 -2.0590754 4.6526242 4.051082
  < x2 -7.531654 -2.059075 -6.2693278 -0.1440715 -1.071967
  < logSigmaMu -1.108441 4.652624 -0.1440715 -14.9331857 -3.775119
  < logSigmaNu -1.946350 4.051082 -1.0719672 -3.7751192 -58.867852
  ---
  > (Intercept) -13.788369 -4.345893 -7.5273217 -1.1108512 -1.941872
  > x1 -4.345893 -25.811539 -2.0571716 4.6503075 4.052490
  > x2 -7.527322 -2.057172 -6.2654750 -0.1435365 -1.057070
  > logSigmaMu -1.110851 4.650307 -0.1435365 -14.9303962 -3.772496
  > logSigmaNu -1.941872 4.052490 -1.0570698 -3.7724962 -58.832591
  1804c1774
  < [1] 77
  ---
  > [1] 91
  1811,1825c1781,1795
  < [1,] -0.50860224 0.090184998 0.10423460 -0.39430599 -0.52863842
  < [2,] -1.81671832 0.067987044 -1.24669791 1.79761917 -0.96200000
  < [3,] 1.78532208 0.484614515 1.77119869 1.73520692 1.90007585
  < [4,] 0.15172195 -0.162506072 -0.39610191 -0.73696428 -1.58673545
  < [5,] 0.08178380 1.039700680 0.69917152 -0.67829853 -0.44291722
  < [6,] 0.33260553 -0.233386070 0.37417553 -0.53935309 -1.57198461
  < [7,] -0.18103952 -3.031568333 -0.24878229 -0.62230684 5.48466782
  < [8,] 0.01875566 -0.004088264 0.01072703 -0.41788703 -0.58151020
  < [9,] 1.11595070 0.667129599 0.29576471 0.06308796 -1.68557648
  < [10,] -0.53790986 -0.420792991 -0.20417890 -0.40634999 -1.97377305
  < [11,] -0.08299764 1.378944119 -0.64771504 -0.82354410 2.49747965
  < [12,] 1.25906080 0.531513173 0.67008515 0.23078477 -1.79317820
  < [13,] 0.44672195 -0.163600355 0.28652886 -0.46811015 -1.44979868
  < [14,] -1.89259645 -1.285666600 -0.96160521 1.98296184 2.68453027
  < [15,] -0.17444693 1.043174505 -0.49506367 -0.72389438 0.02904762
  ---
  > [1,] -0.50851468 0.088549089 0.10332418 -0.39424112 -0.5321531
  > [2,] -1.81705349 0.066630144 -1.24744468 1.79880183 -0.9613088
  > [3,] 1.78438158 0.484622552 1.76921902 1.73324126 1.8938711
  > [4,] 0.15178686 -0.162863846 -0.39633296 -0.73697159 -1.5844197
  > [5,] 0.08174549 1.038619943 0.69766179 -0.67810229 -0.4478988
  > [6,] 0.33238733 -0.231741427 0.37360317 -0.53970858 -1.5740604
  > [7,] -0.18005740 -3.029939879 -0.24845697 -0.62247948 5.4823898
  > [8,] 0.01878553 -0.004094775 0.01074411 -0.41775131 -0.5816437
  > [9,] 1.11613611 0.666458518 0.29576147 0.06379078 -1.6850635
  > [10,] -0.53761405 -0.420066528 -0.20419807 -0.40660173 -1.9743628
  > [11,] -0.08280126 1.379236916 -0.64772340 -0.82356321 2.4973552
  > [12,] 1.25885598 0.532122184 0.66915527 0.23058826 -1.7934726
  > [13,] 0.44678737 -0.163413157 0.28637417 -0.46810019 -1.4504984
  > [14,] -1.89274932 -1.287262705 -0.96222366 1.98378247 2.6810702
  > [15,] -0.17444065 1.043356443 -0.49511091 -0.72391258 0.0298645
  Running ‘censRegTest.R’ [32s/37s]
  Comparing ‘censRegTest.Rout’ to ‘censRegTest.Rout.save’ ...32c32
  < -3.927010e-12 -1.207042e-10 -2.728166e-11 -1.300662e-11 -1.579035e-11
  ---
  > -3.932352e-12 -1.208755e-10 -2.731102e-11 -1.302267e-11 -1.581067e-11
  34c34
  < -1.677684e-11 -3.772323e-12
  ---
  > -1.679983e-11 -3.828576e-12
  1444,1450c1444,1450
  < (Intercept) 7.515523731 -0.1196798502 0.089357154 -3.970038e-01
  < age -0.119679850 0.0062557406 -0.008052616 5.380018e-04
  < yearsmarried 0.089357154 -0.0080526163 0.018095076 -1.006372e-02
  < religiousness -0.397003788 0.0005380018 -0.010063723 1.630153e-01
  < occupation -0.176564351 -0.0039320119 0.003581751 5.214883e-03
  < rating -0.616442291 0.0011114966 0.004771647 -2.571299e-05
  < logSigma 0.006968089 -0.0005561255 0.001594861 -4.944751e-03
  ---
  > (Intercept) 7.515523717 -0.1196798498 0.089357154 -0.3970037876
  > age -0.119679850 0.0062557405 -0.008052616 0.0005380018
  > yearsmarried 0.089357154 -0.0080526163 0.018095076 -0.0100637228
  > religiousness -0.397003788 0.0005380018 -0.010063723 0.1630153148
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  < religiousness3 -1.67391451 0.009680116 -0.0335847980 1.5816089425
  < religiousness4 -1.63520650 0.020356050 -0.0571329535 1.5834255182
  < occupation -0.21663045 -0.004766186 0.0071748020 -0.0149992597
  < rating -0.70525290 0.001990725 0.0047558306 0.0059794243
  ---
  > yearsmarried 0.16868421 -0.011686235 0.0222169680 0.0020910171
  > religiousness2 -1.13192770 -0.012688210 0.0020910171 2.3677473930
  > religiousness3 -1.67391450 0.009680115 -0.0335847979 1.5816089425
  > religiousness4 -1.63520649 0.020356049 -0.0571329533 1.5834255179
  > occupation -0.21663046 -0.004766186 0.0071748020 -0.0149992598
  > rating -0.70525290 0.001990725 0.0047558307 0.0059794244
  17888,17895c17888,17895
  < (Intercept) -1.673914505 -1.635206498 -0.2166304550 -0.7052528968
  < age 0.009680116 0.020356050 -0.0047661857 0.0019907250
  < yearsmarried -0.033584798 -0.057132954 0.0071748020 0.0047558306
  < religiousness2 1.581608942 1.583425518 -0.0149992597 0.0059794243
  < religiousness3 2.344052052 1.676859201 0.0085145594 0.0042720442
  < religiousness4 1.676859201 2.490749125 -0.0079195867 -0.0274176773
  < occupation 0.008514559 -0.007919587 0.0698641099 0.0025917524
  < rating 0.004272044 -0.027417677 0.0025917524 0.1682841972
  ---
  > (Intercept) -1.673914504 -1.635206495 -0.2166304561 -0.7052528970
  > age 0.009680115 0.020356049 -0.0047661857 0.0019907250
  > yearsmarried -0.033584798 -0.057132953 0.0071748020 0.0047558307
  > religiousness2 1.581608943 1.583425518 -0.0149992598 0.0059794244
  > religiousness3 2.344052053 1.676859201 0.0085145595 0.0042720444
  > religiousness4 1.676859201 2.490749125 -0.0079195867 -0.0274176772
  > occupation 0.008514559 -0.007919587 0.0698641100 0.0025917525
  > rating 0.004272044 -0.027417677 0.0025917525 0.1682841972
  17898c17898
  < (Intercept) -0.0520571907
  ---
  > (Intercept) -0.0520571909
  17902c17902
  < religiousness3 -0.0020934236
  ---
  > religiousness3 -0.0020934237
• checking for unstated dependencies in vignettes ... OK
• checking package vignettes in ‘inst/doc’ ... OK
• checking running R code from vignettes ... [9s/10s] OK
• checking re-building of vignette PDFs ... [13s/27s] OK
• checking PDF version of manual ... OK
  NOTE: There was 1 note.
  See
  ‘/home/ripley/R/packages/tests32/censReg.Rcheck/00check.log’
  for details.