Running ‘testthat.R’ [178s/180s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(rBiasCorrection)
  > 
  > local_edition(3)
  Setting deferred event(s) on global environment.
    * Execute (and clear) with `withr::deferred_run()`.
    * Clear (without executing) with `withr::deferred_clear()`.
  > 
  > test_check("rBiasCorrection")
  [20210617_011430]: Entered 'clean_dt'-Function
  [20210617_011430]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011430]: got experimental data
  [20210617_011430]: Entered 'clean_dt'-Function
  [20210617_011430]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011430]: got calibration data
  [20210617_011430]: ### Starting with regression calculations ###
  [20210617_011430]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
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    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
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    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
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  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011431]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011431]: Logging df_agg: CpG#1
  [20210617_011431]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011431]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011431]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011431]: Entered 'hyperbolic_regression'-Function
  [20210617_011431]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011431]: Entered 'cubic_regression'-Function
  [20210617_011431]: 'cubic_regression': minmax = FALSE
  [20210617_011431]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011431]: Logging df_agg: CpG#2
  [20210617_011431]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011431]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011431]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011431]: Entered 'hyperbolic_regression'-Function
  [20210617_011431]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011432]: Entered 'cubic_regression'-Function
  [20210617_011432]: 'cubic_regression': minmax = FALSE
  [20210617_011432]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011432]: Logging df_agg: CpG#3
  [20210617_011432]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011432]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011432]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011432]: Entered 'hyperbolic_regression'-Function
  [20210617_011432]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011432]: Entered 'cubic_regression'-Function
  [20210617_011432]: 'cubic_regression': minmax = FALSE
  [20210617_011432]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011432]: Logging df_agg: CpG#4
  [20210617_011432]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011432]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011432]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011432]: Entered 'hyperbolic_regression'-Function
  [20210617_011432]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011432]: Entered 'cubic_regression'-Function
  [20210617_011432]: 'cubic_regression': minmax = FALSE
  [20210617_011432]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011432]: Logging df_agg: CpG#5
  [20210617_011432]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011432]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011432]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011432]: Entered 'hyperbolic_regression'-Function
  [20210617_011432]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011433]: Entered 'cubic_regression'-Function
  [20210617_011433]: 'cubic_regression': minmax = FALSE
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011431]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011431]: Logging df_agg: CpG#6
  [20210617_011431]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011431]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011431]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011431]: Entered 'hyperbolic_regression'-Function
  [20210617_011431]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011431]: Entered 'cubic_regression'-Function
  [20210617_011431]: 'cubic_regression': minmax = FALSE
  [20210617_011431]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011431]: Logging df_agg: CpG#7
  [20210617_011431]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011431]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011431]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011431]: Entered 'hyperbolic_regression'-Function
  [20210617_011431]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011432]: Entered 'cubic_regression'-Function
  [20210617_011432]: 'cubic_regression': minmax = FALSE
  [20210617_011432]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011432]: Logging df_agg: CpG#8
  [20210617_011432]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011432]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011432]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011432]: Entered 'hyperbolic_regression'-Function
  [20210617_011432]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011432]: Entered 'cubic_regression'-Function
  [20210617_011432]: 'cubic_regression': minmax = FALSE
  [20210617_011432]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011432]: Logging df_agg: CpG#9
  [20210617_011432]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011432]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011432]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011432]: Entered 'hyperbolic_regression'-Function
  [20210617_011432]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011433]: Entered 'cubic_regression'-Function
  [20210617_011433]: 'cubic_regression': minmax = FALSE
  [20210617_011433]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011433]: Logging df_agg: row_means
  [20210617_011433]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011433]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011433]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011433]: Entered 'hyperbolic_regression'-Function
  [20210617_011433]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011433]: Entered 'cubic_regression'-Function
  [20210617_011433]: 'cubic_regression': minmax = FALSE
  [20210617_011435]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011435]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011435]: Logging df_agg: CpG#1
  [20210617_011435]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011435]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011435]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011435]: Entered 'hyperbolic_regression'-Function
  [20210617_011435]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011436]: Entered 'cubic_regression'-Function
  [20210617_011436]: 'cubic_regression': minmax = FALSE
  [20210617_011436]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011436]: Logging df_agg: CpG#2
  [20210617_011436]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011436]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011436]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011436]: Entered 'hyperbolic_regression'-Function
  [20210617_011436]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011436]: Entered 'cubic_regression'-Function
  [20210617_011436]: 'cubic_regression': minmax = FALSE
  [20210617_011437]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011437]: Logging df_agg: CpG#3
  [20210617_011437]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011437]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011437]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011437]: Entered 'hyperbolic_regression'-Function
  [20210617_011437]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011437]: Entered 'cubic_regression'-Function
  [20210617_011437]: 'cubic_regression': minmax = FALSE
  [20210617_011437]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011437]: Logging df_agg: CpG#4
  [20210617_011437]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011437]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011437]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011437]: Entered 'hyperbolic_regression'-Function
  [20210617_011437]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011438]: Entered 'cubic_regression'-Function
  [20210617_011438]: 'cubic_regression': minmax = FALSE
  [20210617_011438]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011438]: Logging df_agg: CpG#5
  [20210617_011438]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011438]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011438]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011438]: Entered 'hyperbolic_regression'-Function
  [20210617_011438]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011438]: Entered 'cubic_regression'-Function
  [20210617_011438]: 'cubic_regression': minmax = FALSE
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011435]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011435]: Logging df_agg: CpG#6
  [20210617_011435]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011435]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011435]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011435]: Entered 'hyperbolic_regression'-Function
  [20210617_011435]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011436]: Entered 'cubic_regression'-Function
  [20210617_011436]: 'cubic_regression': minmax = FALSE
  [20210617_011436]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011436]: Logging df_agg: CpG#7
  [20210617_011436]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011436]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011436]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011436]: Entered 'hyperbolic_regression'-Function
  [20210617_011436]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011437]: Entered 'cubic_regression'-Function
  [20210617_011437]: 'cubic_regression': minmax = FALSE
  [20210617_011437]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011437]: Logging df_agg: CpG#8
  [20210617_011437]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011437]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011437]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011437]: Entered 'hyperbolic_regression'-Function
  [20210617_011437]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011437]: Entered 'cubic_regression'-Function
  [20210617_011437]: 'cubic_regression': minmax = FALSE
  [20210617_011437]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011438]: Logging df_agg: CpG#9
  [20210617_011438]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011438]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011438]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011438]: Entered 'hyperbolic_regression'-Function
  [20210617_011438]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011438]: Entered 'cubic_regression'-Function
  [20210617_011438]: 'cubic_regression': minmax = FALSE
  [20210617_011438]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011438]: Logging df_agg: row_means
  [20210617_011438]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011438]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011438]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011438]: Entered 'hyperbolic_regression'-Function
  [20210617_011438]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011439]: Entered 'cubic_regression'-Function
  [20210617_011439]: 'cubic_regression': minmax = FALSE
  [20210617_011440]: Entered 'clean_dt'-Function
  [20210617_011440]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011440]: got experimental data
  [20210617_011440]: Entered 'clean_dt'-Function
  [20210617_011440]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011440]: got calibration data
  [20210617_011440]: ### Starting with regression calculations ###
  [20210617_011440]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011441]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011441]: Logging df_agg: CpG#1
  [20210617_011441]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011441]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011441]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011441]: Entered 'hyperbolic_regression'-Function
  [20210617_011441]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011441]: Entered 'cubic_regression'-Function
  [20210617_011441]: 'cubic_regression': minmax = FALSE
  [20210617_011441]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011441]: Logging df_agg: CpG#2
  [20210617_011441]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011441]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011441]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011441]: Entered 'hyperbolic_regression'-Function
  [20210617_011441]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011441]: Entered 'cubic_regression'-Function
  [20210617_011441]: 'cubic_regression': minmax = FALSE
  [20210617_011441]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011441]: Logging df_agg: CpG#3
  [20210617_011441]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011441]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011441]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011441]: Entered 'hyperbolic_regression'-Function
  [20210617_011441]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011442]: Entered 'cubic_regression'-Function
  [20210617_011442]: 'cubic_regression': minmax = FALSE
  [20210617_011442]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011442]: Logging df_agg: CpG#4
  [20210617_011442]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011442]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011442]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011442]: Entered 'hyperbolic_regression'-Function
  [20210617_011442]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011442]: Entered 'cubic_regression'-Function
  [20210617_011442]: 'cubic_regression': minmax = FALSE
  [20210617_011442]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011442]: Logging df_agg: CpG#5
  [20210617_011442]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011442]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011442]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011442]: Entered 'hyperbolic_regression'-Function
  [20210617_011442]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011443]: Entered 'cubic_regression'-Function
  [20210617_011443]: 'cubic_regression': minmax = FALSE
  [20210617_011441]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011441]: Logging df_agg: CpG#6
  [20210617_011441]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011441]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011441]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011441]: Entered 'hyperbolic_regression'-Function
  [20210617_011441]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011441]: Entered 'cubic_regression'-Function
  [20210617_011441]: 'cubic_regression': minmax = FALSE
  [20210617_011441]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011441]: Logging df_agg: CpG#7
  [20210617_011441]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011441]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011441]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011441]: Entered 'hyperbolic_regression'-Function
  [20210617_011441]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011441]: Entered 'cubic_regression'-Function
  [20210617_011442]: 'cubic_regression': minmax = FALSE
  [20210617_011442]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011442]: Logging df_agg: CpG#8
  [20210617_011442]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011442]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011442]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011442]: Entered 'hyperbolic_regression'-Function
  [20210617_011442]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011442]: Entered 'cubic_regression'-Function
  [20210617_011442]: 'cubic_regression': minmax = FALSE
  [20210617_011442]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011442]: Logging df_agg: CpG#9
  [20210617_011442]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011442]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011442]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011442]: Entered 'hyperbolic_regression'-Function
  [20210617_011442]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011442]: Entered 'cubic_regression'-Function
  [20210617_011442]: 'cubic_regression': minmax = FALSE
  [20210617_011442]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011442]: Logging df_agg: row_means
  [20210617_011442]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011442]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011442]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011442]: Entered 'hyperbolic_regression'-Function
  [20210617_011442]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011443]: Entered 'cubic_regression'-Function
  [20210617_011443]: 'cubic_regression': minmax = FALSE
  [20210617_011444]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011444]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011444]: Logging df_agg: CpG#1
  [20210617_011444]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011444]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011444]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011444]: Entered 'hyperbolic_regression'-Function
  [20210617_011444]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011444]: Entered 'cubic_regression'-Function
  [20210617_011444]: 'cubic_regression': minmax = FALSE
  [20210617_011445]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011445]: Logging df_agg: CpG#2
  [20210617_011445]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011445]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011445]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011445]: Entered 'hyperbolic_regression'-Function
  [20210617_011445]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011445]: Entered 'cubic_regression'-Function
  [20210617_011445]: 'cubic_regression': minmax = FALSE
  [20210617_011445]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011445]: Logging df_agg: CpG#3
  [20210617_011445]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011445]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011445]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011445]: Entered 'hyperbolic_regression'-Function
  [20210617_011445]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011445]: Entered 'cubic_regression'-Function
  [20210617_011445]: 'cubic_regression': minmax = FALSE
  [20210617_011445]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011445]: Logging df_agg: CpG#4
  [20210617_011445]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011445]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011445]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011445]: Entered 'hyperbolic_regression'-Function
  [20210617_011445]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011446]: Entered 'cubic_regression'-Function
  [20210617_011446]: 'cubic_regression': minmax = FALSE
  [20210617_011446]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011446]: Logging df_agg: CpG#5
  [20210617_011446]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011446]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011446]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011446]: Entered 'hyperbolic_regression'-Function
  [20210617_011446]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011446]: Entered 'cubic_regression'-Function
  [20210617_011446]: 'cubic_regression': minmax = FALSE
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011444]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011444]: Logging df_agg: CpG#6
  [20210617_011444]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011444]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011444]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011444]: Entered 'hyperbolic_regression'-Function
  [20210617_011444]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011445]: Entered 'cubic_regression'-Function
  [20210617_011445]: 'cubic_regression': minmax = FALSE
  [20210617_011445]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011445]: Logging df_agg: CpG#7
  [20210617_011445]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011445]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011445]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011445]: Entered 'hyperbolic_regression'-Function
  [20210617_011445]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011445]: Entered 'cubic_regression'-Function
  [20210617_011445]: 'cubic_regression': minmax = FALSE
  [20210617_011445]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011445]: Logging df_agg: CpG#8
  [20210617_011445]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011445]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011445]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011445]: Entered 'hyperbolic_regression'-Function
  [20210617_011445]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011446]: Entered 'cubic_regression'-Function
  [20210617_011446]: 'cubic_regression': minmax = FALSE
  [20210617_011446]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011446]: Logging df_agg: CpG#9
  [20210617_011446]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011446]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011446]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011446]: Entered 'hyperbolic_regression'-Function
  [20210617_011446]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011446]: Entered 'cubic_regression'-Function
  [20210617_011446]: 'cubic_regression': minmax = FALSE
  [20210617_011446]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011446]: Logging df_agg: row_means
  [20210617_011446]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011446]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011446]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011446]: Entered 'hyperbolic_regression'-Function
  [20210617_011446]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011447]: Entered 'cubic_regression'-Function
  [20210617_011447]: 'cubic_regression': minmax = FALSE
  [20210617_011448]: Entered 'solving_equations'-Function
  [20210617_011448]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: -2.2322293232201
  [20210617_011448]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -2.232  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 12.1698489740132
  [20210617_011448]: Samplename: 12.5  
  Root: 12.17  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.478191666445
  [20210617_011448]: Samplename: 25  
  Root: 24.478  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.1730441449564
  [20210617_011448]: Samplename: 37.5  
  Root: 38.173  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.3349365414557
  [20210617_011448]: Samplename: 50  
  Root: 52.335  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4582768164567
  [20210617_011448]: Samplename: 62.5  
  Root: 65.458  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.0090791576696
  [20210617_011448]: Samplename: 75  
  Root: 75.009  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 81.5271918976313
  [20210617_011448]: Samplename: 87.5  
  Root: 81.527  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.400893698577
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.401  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#2
  Hyperbolic solved: 1.1366048851695
  [20210617_011448]: Samplename: 0  
  Root: 1.137  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.4129696254623
  [20210617_011448]: Samplename: 12.5  
  Root: 11.413  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.1740005681218
  [20210617_011448]: Samplename: 25  
  Root: 26.174  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.1050449882041
  [20210617_011448]: Samplename: 37.5  
  Root: 35.105  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 47.6855004313249
  [20210617_011448]: Samplename: 50  
  Root: 47.686  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.144049522702
  [20210617_011448]: Samplename: 62.5  
  Root: 67.144  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.7644669394652
  [20210617_011448]: Samplename: 75  
  Root: 75.764  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.4054158670092
  [20210617_011448]: Samplename: 87.5  
  Root: 84.405  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100.948272365602
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.948  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 0.512356752802174
  [20210617_011448]: Samplename: 0  
  Root: 0.512  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.7523883460225
  [20210617_011448]: Samplename: 12.5  
  Root: 10.752  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.5218904123535
  [20210617_011448]: Samplename: 25  
  Root: 25.522  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 36.527045764285
  [20210617_011448]: Samplename: 37.5  
  Root: 36.527  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.7909239725678
  [20210617_011448]: Samplename: 50  
  Root: 50.791  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.868631341525
  [20210617_011448]: Samplename: 62.5  
  Root: 64.869  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 77.5524186632508
  [20210617_011448]: Samplename: 75  
  Root: 77.552  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 80.4374616173749
  [20210617_011448]: Samplename: 87.5  
  Root: 80.437  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.704025507214
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.704  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: -0.519503092357606
  [20210617_011448]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.52  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 12.4934147844872
  [20210617_011448]: Samplename: 12.5  
  Root: 12.493  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.2685420024115
  [20210617_011448]: Samplename: 25  
  Root: 24.269  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.0817128465023
  [20210617_011448]: Samplename: 37.5  
  Root: 38.082  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 48.5843181174811
  [20210617_011448]: Samplename: 50  
  Root: 48.584  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.6722399183037
  [20210617_011448]: Samplename: 62.5  
  Root: 67.672  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.1549277799119
  [20210617_011448]: Samplename: 75  
  Root: 74.155  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.8821797890026
  [20210617_011448]: Samplename: 87.5  
  Root: 82.882  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.0791269023
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.079  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#5
  Hyperbolic solved: 2.41558634080964
  [20210617_011448]: Samplename: 0  
  Root: 2.416  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.1649676091875
  [20210617_011448]: Samplename: 12.5  
  Root: 10.165  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 23.9830822068073
  [20210617_011448]: Samplename: 25  
  Root: 23.983  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.2773621707371
  [20210617_011448]: Samplename: 37.5  
  Root: 37.277  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.8659388200322
  [20210617_011448]: Samplename: 50  
  Root: 50.866  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 62.4342274856058
  [20210617_011448]: Samplename: 62.5  
  Root: 62.434  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 76.391526107321
  [20210617_011448]: Samplename: 75  
  Root: 76.392  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 86.1597887608574
  [20210617_011448]: Samplename: 87.5  
  Root: 86.16  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100.267759744041
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.268  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 0.138163645228118
  [20210617_011448]: Samplename: 0  
  Root: 0.138  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.8635558933418
  [20210617_011448]: Samplename: 12.5  
  Root: 11.864  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.5107450541178
  [20210617_011448]: Samplename: 25  
  Root: 26.511  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.3205074382816
  [20210617_011448]: Samplename: 37.5  
  Root: 35.321  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.057076910014
  [20210617_011448]: Samplename: 50  
  Root: 50.057  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.9602945633439
  [20210617_011448]: Samplename: 62.5  
  Root: 64.96  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.6689058030365
  [20210617_011448]: Samplename: 75  
  Root: 73.669  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 87.1266086538812
  [20210617_011448]: Samplename: 87.5  
  Root: 87.127  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100.261636882607
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.262  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: -1.37238114780366
  [20210617_011448]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -1.372  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 10.1993162811953
  [20210617_011448]: Samplename: 12.5  
  Root: 10.199  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.5951792943117
  [20210617_011448]: Samplename: 25  
  Root: 24.595  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.8310425745541
  [20210617_011448]: Samplename: 37.5  
  Root: 37.831  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 53.558874469197
  [20210617_011448]: Samplename: 50  
  Root: 53.559  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.9364952058423
  [20210617_011448]: Samplename: 62.5  
  Root: 65.936  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.7361097122942
  [20210617_011448]: Samplename: 75  
  Root: 75.736  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 79.4328239604749
  [20210617_011448]: Samplename: 87.5  
  Root: 79.433  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 103.004236576809
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 103.004  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#8
  Hyperbolic solved: 2.80068185854687
  [20210617_011448]: Samplename: 0  
  Root: 2.801  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 9.27535112037461
  [20210617_011448]: Samplename: 12.5  
  Root: 9.275  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.4762621604359
  [20210617_011448]: Samplename: 25  
  Root: 25.476  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 34.0122076131879
  [20210617_011448]: Samplename: 37.5  
  Root: 34.012  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.7842656899344
  [20210617_011448]: Samplename: 50  
  Root: 51.784  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.6732313195647
  [20210617_011448]: Samplename: 62.5  
  Root: 64.673  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 78.4326979687807
  [20210617_011448]: Samplename: 75  
  Root: 78.433  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 81.3427233515478
  [20210617_011448]: Samplename: 87.5  
  Root: 81.343  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 101.964406520914
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.964  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for CpG#9
  Hyperbolic solved: -2.13403734746264
  [20210617_011448]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -2.134  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 10.5082191741671
  [20210617_011448]: Samplename: 12.5  
  Root: 10.508  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.9164567098994
  [20210617_011448]: Samplename: 25  
  Root: 26.916  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 36.8334779244589
  [20210617_011448]: Samplename: 37.5  
  Root: 36.833  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.009789628279
  [20210617_011448]: Samplename: 50  
  Root: 52.01  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.8930528275604
  [20210617_011448]: Samplename: 62.5  
  Root: 64.893  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.5671055806108
  [20210617_011448]: Samplename: 75  
  Root: 74.567  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.5294955015715
  [20210617_011448]: Samplename: 87.5  
  Root: 84.529  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 101.047146447831
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.047  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 0.290940373366124
  [20210617_011448]: Samplename: 0  
  Root: 0.291  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.0412405652041
  [20210617_011448]: Samplename: 12.5  
  Root: 11.041  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.408150327248
  [20210617_011448]: Samplename: 25  
  Root: 25.408  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 36.5243723508302
  [20210617_011448]: Samplename: 37.5  
  Root: 36.524  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.7348830011429
  [20210617_011448]: Samplename: 50  
  Root: 50.735  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.3135214706409
  [20210617_011448]: Samplename: 62.5  
  Root: 65.314  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.5342712271394
  [20210617_011448]: Samplename: 75  
  Root: 75.534  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 83.24112297174
  [20210617_011448]: Samplename: 87.5  
  Root: 83.241  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 101.666942221372
  [20210617_011448]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.667  
  --> '100 < root < 110' --> substitute 100
  [20210617_011448]: ### Starting with regression calculations ###
  [20210617_011448]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011448]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 12.1698489740132, 24.478191666445, 38.1730441449564, 52.3349365414557, 65.4582768164567, 75.0090791576696, 81.5271918976313, 100)
  [20210617_011448]: Logging df_agg: CpG#1
  [20210617_011448]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011448]: c(0, 12.1698489740132, 24.478191666445, 38.1730441449564, 52.3349365414557, 65.4582768164567, 75.0090791576696, 81.5271918976313, 100)
  [20210617_011448]: Entered 'hyperbolic_regression'-Function
  [20210617_011448]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011449]: Entered 'cubic_regression'-Function
  [20210617_011449]: 'cubic_regression': minmax = FALSE
  [20210617_011449]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.1366048851695, 11.4129696254623, 26.1740005681218, 35.1050449882041, 47.6855004313249, 67.144049522702, 75.7644669394652, 84.4054158670092, 100)
  [20210617_011449]: Logging df_agg: CpG#2
  [20210617_011449]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011449]: c(1.1366048851695, 11.4129696254623, 26.1740005681218, 35.1050449882041, 47.6855004313249, 67.144049522702, 75.7644669394652, 84.4054158670092, 100)
  [20210617_011449]: Entered 'hyperbolic_regression'-Function
  [20210617_011449]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011449]: Entered 'cubic_regression'-Function
  [20210617_011449]: 'cubic_regression': minmax = FALSE
  [20210617_011449]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.512356752802174, 10.7523883460225, 25.5218904123535, 36.527045764285, 50.7909239725678, 64.868631341525, 77.5524186632508, 80.4374616173749, 100)
  [20210617_011449]: Logging df_agg: CpG#3
  [20210617_011449]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011449]: c(0.512356752802174, 10.7523883460225, 25.5218904123535, 36.527045764285, 50.7909239725678, 64.868631341525, 77.5524186632508, 80.4374616173749, 100)
  [20210617_011449]: Entered 'hyperbolic_regression'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011449]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011450]: Entered 'cubic_regression'-Function
  [20210617_011450]: 'cubic_regression': minmax = FALSE
  [20210617_011450]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 12.4934147844872, 24.2685420024115, 38.0817128465023, 48.5843181174811, 67.6722399183037, 74.1549277799119, 82.8821797890026, 100)
  [20210617_011450]: Logging df_agg: CpG#4
  [20210617_011450]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011450]: c(0, 12.4934147844872, 24.2685420024115, 38.0817128465023, 48.5843181174811, 67.6722399183037, 74.1549277799119, 82.8821797890026, 100)
  [20210617_011450]: Entered 'hyperbolic_regression'-Function
  [20210617_011450]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011450]: Entered 'cubic_regression'-Function
  [20210617_011450]: 'cubic_regression': minmax = FALSE
  [20210617_011450]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.41558634080964, 10.1649676091875, 23.9830822068073, 37.2773621707371, 50.8659388200322, 62.4342274856058, 76.391526107321, 86.1597887608574, 100)
  [20210617_011450]: Logging df_agg: CpG#5
  [20210617_011450]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011450]: c(2.41558634080964, 10.1649676091875, 23.9830822068073, 37.2773621707371, 50.8659388200322, 62.4342274856058, 76.391526107321, 86.1597887608574, 100)
  [20210617_011450]: Entered 'hyperbolic_regression'-Function
  [20210617_011450]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011451]: Entered 'cubic_regression'-Function
  [20210617_011451]: 'cubic_regression': minmax = FALSE
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011448]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.138163645228118, 11.8635558933418, 26.5107450541178, 35.3205074382816, 50.057076910014, 64.9602945633439, 73.6689058030365, 87.1266086538812, 100)
  [20210617_011448]: Logging df_agg: CpG#6
  [20210617_011448]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011448]: c(0.138163645228118, 11.8635558933418, 26.5107450541178, 35.3205074382816, 50.057076910014, 64.9602945633439, 73.6689058030365, 87.1266086538812, 100)
  [20210617_011448]: Entered 'hyperbolic_regression'-Function
  [20210617_011448]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011449]: Entered 'cubic_regression'-Function
  [20210617_011449]: 'cubic_regression': minmax = FALSE
  [20210617_011449]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.1993162811953, 24.5951792943117, 37.8310425745541, 53.558874469197, 65.9364952058423, 75.7361097122942, 79.4328239604749, 100)
  [20210617_011449]: Logging df_agg: CpG#7
  [20210617_011449]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011449]: c(0, 10.1993162811953, 24.5951792943117, 37.8310425745541, 53.558874469197, 65.9364952058423, 75.7361097122942, 79.4328239604749, 100)
  [20210617_011449]: Entered 'hyperbolic_regression'-Function
  [20210617_011449]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011450]: Entered 'cubic_regression'-Function
  [20210617_011450]: 'cubic_regression': minmax = FALSE
  [20210617_011450]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.80068185854687, 9.27535112037461, 25.4762621604359, 34.0122076131879, 51.7842656899344, 64.6732313195647, 78.4326979687807, 81.3427233515478, 100)
  [20210617_011450]: Logging df_agg: CpG#8
  [20210617_011450]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011450]: c(2.80068185854687, 9.27535112037461, 25.4762621604359, 34.0122076131879, 51.7842656899344, 64.6732313195647, 78.4326979687807, 81.3427233515478, 100)
  [20210617_011450]: Entered 'hyperbolic_regression'-Function
  [20210617_011450]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011450]: Entered 'cubic_regression'-Function
  [20210617_011450]: 'cubic_regression': minmax = FALSE
  [20210617_011450]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.5082191741671, 26.9164567098994, 36.8334779244589, 52.009789628279, 64.8930528275604, 74.5671055806108, 84.5294955015715, 100)
  [20210617_011450]: Logging df_agg: CpG#9
  [20210617_011450]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011450]: c(0, 10.5082191741671, 26.9164567098994, 36.8334779244589, 52.009789628279, 64.8930528275604, 74.5671055806108, 84.5294955015715, 100)
  [20210617_011450]: Entered 'hyperbolic_regression'-Function
  [20210617_011450]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011451]: Entered 'cubic_regression'-Function
  [20210617_011451]: 'cubic_regression': minmax = FALSE
  [20210617_011451]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.290940373366124, 11.0412405652041, 25.408150327248, 36.5243723508302, 50.7348830011429, 65.3135214706409, 75.5342712271394, 83.24112297174, 100)
  [20210617_011451]: Logging df_agg: row_means
  [20210617_011451]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011451]: c(0.290940373366124, 11.0412405652041, 25.408150327248, 36.5243723508302, 50.7348830011429, 65.3135214706409, 75.5342712271394, 83.24112297174, 100)
  [20210617_011451]: Entered 'hyperbolic_regression'-Function
  [20210617_011451]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011451]: Entered 'cubic_regression'-Function
  [20210617_011451]: 'cubic_regression': minmax = FALSE
  [20210617_011452]: Entered 'solving_equations'-Function
  [20210617_011452]: Solving cubic regression for CpG#1
  Coefficients: -1.03617340067344Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 0  
  Root: 1.334  
  --> Root in between the borders! Added to results.
  Coefficients: -8.34150673400678Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 12.5  
  Root: 11.446  
  --> Root in between the borders! Added to results.
  Coefficients: -15.3881734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 25  
  Root: 22.228  
  --> Root in between the borders! Added to results.
  Coefficients: -24.2801734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 37.5  
  Root: 36.374  
  --> Root in between the borders! Added to results.
  Coefficients: -34.9006734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 50  
  Root: 52.044  
  --> Root in between the borders! Added to results.
  Coefficients: -46.3541734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 62.5  
  Root: 66.144  
  --> Root in between the borders! Added to results.
  Coefficients: -55.8931734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 75  
  Root: 75.864  
  --> Root in between the borders! Added to results.
  Coefficients: -63.0981734006734Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 87.5  
  Root: 82.254  
  --> Root in between the borders! Added to results.
  Coefficients: -91.0461734006735Coefficients: 0.784061853455188Coefficients: -0.0055806968734969Coefficients: 6.53413423120091e-05
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.877  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#2
  Coefficients: -0.283329966329966Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 0  
  Root: 0.549  
  --> Root in between the borders! Added to results.
  Coefficients: -6.33999663299663Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 12.5  
  Root: 11.533  
  --> Root in between the borders! Added to results.
  Coefficients: -15.93932996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 25  
  Root: 26.628  
  --> Root in between the borders! Added to results.
  Coefficients: -22.33732996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 37.5  
  Root: 35.509  
  --> Root in between the borders! Added to results.
  Coefficients: -32.22832996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 50  
  Root: 47.851  
  --> Root in between the borders! Added to results.
  Coefficients: -49.96332996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 62.5  
  Root: 66.893  
  --> Root in between the borders! Added to results.
  Coefficients: -58.96582996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 75  
  Root: 75.431  
  --> Root in between the borders! Added to results.
  Coefficients: -68.8366632996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 87.5  
  Root: 84.118  
  --> Root in between the borders! Added to results.
  Coefficients: -90.57732996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.287  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#3
  Coefficients: -0.90294781144782Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 0  
  Root: 1.441  
  --> Root in between the borders! Added to results.
  Coefficients: -6.57294781144782Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 12.5  
  Root: 10.568  
  --> Root in between the borders! Added to results.
  Coefficients: -15.4289478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 25  
  Root: 24.796  
  --> Root in between the borders! Added to results.
  Coefficients: -22.6129478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 37.5  
  Root: 35.952  
  --> Root in between the borders! Added to results.
  Coefficients: -32.7754478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 50  
  Root: 50.684  
  --> Root in between the borders! Added to results.
  Coefficients: -43.8889478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 62.5  
  Root: 65.142  
  --> Root in between the borders! Added to results.
  Coefficients: -54.9754478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 75  
  Root: 77.905  
  --> Root in between the borders! Added to results.
  Coefficients: -57.6562811447812Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 87.5  
  Root: 80.767  
  --> Root in between the borders! Added to results.
  Coefficients: -80.6649478114478Coefficients: 0.62783129228796Coefficients: -0.000797009331409346Coefficients: 2.30555869809204e-05
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.38  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#4
  Coefficients: -0.597449494949524Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 0  
  Root: 0.858  
  --> Root in between the borders! Added to results.
  Coefficients: -8.25278282828286Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 12.5  
  Root: 12.086  
  --> Root in between the borders! Added to results.
  Coefficients: -15.8034494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 25  
  Root: 23.316  
  --> Root in between the borders! Added to results.
  Coefficients: -25.5274494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 37.5  
  Root: 37.383  
  --> Root in between the borders! Added to results.
  Coefficients: -33.6369494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 50  
  Root: 48.353  
  --> Root in between the borders! Added to results.
  Coefficients: -50.2554494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 62.5  
  Root: 68.082  
  --> Root in between the borders! Added to results.
  Coefficients: -56.5394494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 75  
  Root: 74.615  
  --> Root in between the borders! Added to results.
  Coefficients: -65.5927828282829Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 87.5  
  Root: 83.254  
  --> Root in between the borders! Added to results.
  Coefficients: -88.3214494949495Coefficients: 0.697398364598366Coefficients: -0.0015913142857143Coefficients: 3.2166356902357e-05
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.715  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#5
  Coefficients: -0.623961279461278Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 0  
  Root: 1.458  
  --> Root in between the borders! Added to results.
  Coefficients: -4.76796127946128Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 12.5  
  Root: 10.347  
  --> Root in between the borders! Added to results.
  Coefficients: -12.7259612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 25  
  Root: 24.815  
  --> Root in between the borders! Added to results.
  Coefficients: -21.1599612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 37.5  
  Root: 37.902  
  --> Root in between the borders! Added to results.
  Coefficients: -30.6954612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 50  
  Root: 50.977  
  --> Root in between the borders! Added to results.
  Coefficients: -39.6579612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 62.5  
  Root: 62.126  
  --> Root in between the borders! Added to results.
  Coefficients: -51.6829612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 75  
  Root: 75.852  
  --> Root in between the borders! Added to results.
  Coefficients: -61.0146279461279Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 87.5  
  Root: 85.767  
  --> Root in between the borders! Added to results.
  Coefficients: -76.0699612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.743  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#6
  Coefficients: -0.196072390572403Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 0  
  Root: 0.349  
  --> Root in between the borders! Added to results.
  Coefficients: -6.73873905723907Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 12.5  
  Root: 11.718  
  --> Root in between the borders! Added to results.
  Coefficients: -15.8880723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 25  
  Root: 26.396  
  --> Root in between the borders! Added to results.
  Coefficients: -22.0000723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 37.5  
  Root: 35.301  
  --> Root in between the borders! Added to results.
  Coefficients: -33.4445723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 50  
  Root: 50.134  
  --> Root in between the borders! Added to results.
  Coefficients: -46.9000723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 62.5  
  Root: 64.993  
  --> Root in between the borders! Added to results.
  Coefficients: -55.8320723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 75  
  Root: 73.639  
  --> Root in between the borders! Added to results.
  Coefficients: -71.5454057239057Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 87.5  
  Root: 87.043  
  --> Root in between the borders! Added to results.
  Coefficients: -89.6560723905724Coefficients: 0.561022132435467Coefficients: 0.000918637037037021Coefficients: 2.38852884399552e-05
  [20210617_011452]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.329  
  --> '100 < root < 110' --> substitute 100
  [20210617_011452]: Solving cubic regression for CpG#7
  Coefficients: -1.21495454545456Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 0  
  Root: 2.13  
  --> Root in between the borders! Added to results.
  Coefficients: -5.39562121212123Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 12.5  
  Root: 9.973  
  --> Root in between the borders! Added to results.
  Coefficients: -11.2649545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 25  
  Root: 22.206  
  --> Root in between the borders! Added to results.
  Coefficients: -17.4509545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 37.5  
  Root: 35.814  
  --> Root in between the borders! Added to results.
  Coefficients: -26.0314545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 50  
  Root: 53.28  
  --> Root in between the borders! Added to results.
  Coefficients: -33.9649545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 62.5  
  Root: 66.598  
  --> Root in between the borders! Added to results.
  Coefficients: -41.1689545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 75  
  Root: 76.575  
  --> Root in between the borders! Added to results.
  Coefficients: -44.1356212121212Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011452]: Samplename: 87.5  
  Root: 80.219  
  --> Root in between the borders! Added to results.
  Coefficients: -67.2229545454546Coefficients: 0.579588917748918Coefficients: -0.00436152150072151Coefficients: 4.98010505050505e-05
  [20210617_011453]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.506  
  --> '100 < root < 110' --> substitute 100
  [20210617_011453]: Solving cubic regression for CpG#8
  Coefficients: -1.09618518518518Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 0  
  Root: 2.016  
  --> Root in between the borders! Added to results.
  Coefficients: -5.44685185185185Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 12.5  
  Root: 9.458  
  --> Root in between the borders! Added to results.
  Coefficients: -16.9301851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 25  
  Root: 26.35  
  --> Root in between the borders! Added to results.
  Coefficients: -23.3501851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 37.5  
  Root: 34.728  
  --> Root in between the borders! Added to results.
  Coefficients: -37.6251851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 50  
  Root: 51.781  
  --> Root in between the borders! Added to results.
  Coefficients: -48.8261851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 62.5  
  Root: 64.192  
  --> Root in between the borders! Added to results.
  Coefficients: -61.6676851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 75  
  Root: 77.804  
  --> Root in between the borders! Added to results.
  Coefficients: -64.5101851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 87.5  
  Root: 80.758  
  --> Root in between the borders! Added to results.
  Coefficients: -86.0601851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011453]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.834  
  --> '100 < root < 110' --> substitute 100
  [20210617_011453]: Solving cubic regression for CpG#9
  Coefficients: -0.989865319865327Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 0  
  Root: 1.475  
  --> Root in between the borders! Added to results.
  Coefficients: -6.39586531986533Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 12.5  
  Root: 10.12  
  --> Root in between the borders! Added to results.
  Coefficients: -14.7058653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 25  
  Root: 24.844  
  --> Root in between the borders! Added to results.
  Coefficients: -20.6238653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 37.5  
  Root: 35.327  
  --> Root in between the borders! Added to results.
  Coefficients: -31.3958653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 50  
  Root: 51.855  
  --> Root in between the borders! Added to results.
  Coefficients: -42.6858653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 62.5  
  Root: 65.265  
  --> Root in between the borders! Added to results.
  Coefficients: -52.9033653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 75  
  Root: 74.915  
  --> Root in between the borders! Added to results.
  Coefficients: -65.492531986532Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 87.5  
  Root: 84.67  
  --> Root in between the borders! Added to results.
  Coefficients: -92.9898653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011453]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.082  
  --> '100 < root < 110' --> substitute 100
  [20210617_011453]: Solving cubic regression for row_means
  Coefficients: -0.771215488215478Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 0  
  Root: 1.287  
  --> Root in between the borders! Added to results.
  Coefficients: -6.47247474747474Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 12.5  
  Root: 10.847  
  --> Root in between the borders! Added to results.
  Coefficients: -14.8972154882155Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 25  
  Root: 24.737  
  --> Root in between the borders! Added to results.
  Coefficients: -22.1492154882155Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 37.5  
  Root: 36.02  
  --> Root in between the borders! Added to results.
  Coefficients: -32.5259932659933Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 50  
  Root: 50.639  
  --> Root in between the borders! Added to results.
  Coefficients: -44.7218821548821Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 62.5  
  Root: 65.497  
  --> Root in between the borders! Added to results.
  Coefficients: -54.4032154882155Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 75  
  Root: 75.751  
  --> Root in between the borders! Added to results.
  Coefficients: -62.4313636363636Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 87.5  
  Root: 83.403  
  --> Root in between the borders! Added to results.
  Coefficients: -84.7343265993266Coefficients: 0.600117857944524Coefficients: -0.000629959275292592Coefficients: 2.88923726150392e-05
  [20210617_011453]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.573  
  --> '100 < root < 110' --> substitute 100
  [20210617_011453]: ### Starting with regression calculations ###
  [20210617_011453]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  [20210617_011453]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.33401421032361, 11.4464168649749, 22.2276337872205, 36.3736525123061, 52.0438002576114, 66.1443249010516, 75.864353455204, 82.2543632311352, 100)
  [20210617_011453]: Logging df_agg: CpG#1
  [20210617_011453]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011453]: c(1.33401421032361, 11.4464168649749, 22.2276337872205, 36.3736525123061, 52.0438002576114, 66.1443249010516, 75.864353455204, 82.2543632311352, 100)
  [20210617_011453]: Entered 'hyperbolic_regression'-Function
  [20210617_011453]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011454]: Entered 'cubic_regression'-Function
  [20210617_011454]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.548629212600373, 11.5334942360619, 26.6282428579604, 35.509046298922, 47.8509004857888, 66.8931714037845, 75.4313106569591, 84.1184829423144, 100)
  [20210617_011454]: Logging df_agg: CpG#2
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(0.548629212600373, 11.5334942360619, 26.6282428579604, 35.509046298922, 47.8509004857888, 66.8931714037845, 75.4313106569591, 84.1184829423144, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011454]: Entered 'cubic_regression'-Function
  [20210617_011454]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.44072654766676, 10.5677206698424, 24.7956529081379, 35.9519154174756, 50.6840128730794, 65.1415439321287, 77.905329956603, 80.767122912268, 100)
  [20210617_011454]: Logging df_agg: CpG#3
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(1.44072654766676, 10.5677206698424, 24.7956529081379, 35.9519154174756, 50.6840128730794, 65.1415439321287, 77.905329956603, 80.767122912268, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011454]: Entered 'cubic_regression'-Function
  [20210617_011454]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.858335161098707, 12.0855313705714, 23.3164186343997, 37.3830070750476, 48.3526815121735, 68.0824341519511, 74.6152796890845, 83.2536964524017, 100)
  [20210617_011454]: Logging df_agg: CpG#4
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(0.858335161098707, 12.0855313705714, 23.3164186343997, 37.3830070750476, 48.3526815121735, 68.0824341519511, 74.6152796890845, 83.2536964524017, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011455]: Entered 'cubic_regression'-Function
  [20210617_011455]: 'cubic_regression': minmax = FALSE
  [20210617_011455]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.45815885872158, 10.3470047908467, 24.8150085082726, 37.902202434763, 50.9768599213374, 62.1264944886855, 75.8515940245021, 85.766767827257, 100)
  [20210617_011455]: Logging df_agg: CpG#5
  [20210617_011455]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011455]: c(1.45815885872158, 10.3470047908467, 24.8150085082726, 37.902202434763, 50.9768599213374, 62.1264944886855, 75.8515940245021, 85.766767827257, 100)
  [20210617_011455]: Entered 'hyperbolic_regression'-Function
  [20210617_011455]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011456]: Entered 'cubic_regression'-Function
  [20210617_011456]: 'cubic_regression': minmax = FALSE
  [20210617_011453]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0.349289777689709, 11.718186424346, 26.3959840124278, 35.3009019621403, 50.1335677299922, 64.9927731962402, 73.6385743787925, 87.0433563205787, 100)
  [20210617_011453]: Logging df_agg: CpG#6
  [20210617_011453]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011453]: c(0.349289777689709, 11.718186424346, 26.3959840124278, 35.3009019621403, 50.1335677299922, 64.9927731962402, 73.6385743787925, 87.0433563205787, 100)
  [20210617_011453]: Entered 'hyperbolic_regression'-Function
  [20210617_011453]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011453]: Entered 'cubic_regression'-Function
  [20210617_011453]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.12953119975094, 9.97257098314617, 22.2059559709309, 35.8143078912917, 53.2798169545709, 66.5977007121, 76.5753720723248, 80.2192820049014, 100)
  [20210617_011454]: Logging df_agg: CpG#7
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(2.12953119975094, 9.97257098314617, 22.2059559709309, 35.8143078912917, 53.2798169545709, 66.5977007121, 76.5753720723248, 80.2192820049014, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011454]: Entered 'cubic_regression'-Function
  [20210617_011454]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.01554288922103, 9.4575966611002, 26.3496745529898, 34.7279879576046, 51.7805031081493, 64.1918409049086, 77.803935663705, 80.7580214011447, 100)
  [20210617_011454]: Logging df_agg: CpG#8
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(2.01554288922103, 9.4575966611002, 26.3496745529898, 34.7279879576046, 51.7805031081493, 64.1918409049086, 77.803935663705, 80.7580214011447, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011454]: Entered 'cubic_regression'-Function
  [20210617_011454]: 'cubic_regression': minmax = FALSE
  [20210617_011454]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.4748520772151, 10.1196517054927, 24.843641290935, 35.3267260117639, 51.8546848506009, 65.2652545321194, 74.9150847744697, 84.6698630277556, 100)
  [20210617_011454]: Logging df_agg: CpG#9
  [20210617_011454]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011454]: c(1.4748520772151, 10.1196517054927, 24.843641290935, 35.3267260117639, 51.8546848506009, 65.2652545321194, 74.9150847744697, 84.6698630277556, 100)
  [20210617_011454]: Entered 'hyperbolic_regression'-Function
  [20210617_011454]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011455]: Entered 'cubic_regression'-Function
  [20210617_011455]: 'cubic_regression': minmax = FALSE
  [20210617_011455]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(1.28674218034491, 10.8474062821721, 24.737384351039, 36.0200815402329, 50.6393222494118, 65.4974814516656, 75.7507242961973, 83.4027053898488, 100)
  [20210617_011455]: Logging df_agg: row_means
  [20210617_011455]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011455]: c(1.28674218034491, 10.8474062821721, 24.737384351039, 36.0200815402329, 50.6393222494118, 65.4974814516656, 75.7507242961973, 83.4027053898488, 100)
  [20210617_011455]: Entered 'hyperbolic_regression'-Function
  [20210617_011455]: 'hyperbolic_regression': minmax = FALSE
  [20210617_011455]: Entered 'cubic_regression'-Function
  [20210617_011455]: 'cubic_regression': minmax = FALSE
  [20210617_011456]: Entered 'solving_equations'-Function
  [20210617_011456]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: 79.8673454435978
  [20210617_011456]: Samplename: Sample#1  
  Root: 79.867  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.7900179592909
  [20210617_011456]: Samplename: Sample#10  
  Root: 29.79  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 41.652540936546
  [20210617_011456]: Samplename: Sample#2  
  Root: 41.653  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 57.4652083942386
  [20210617_011456]: Samplename: Sample#3  
  Root: 57.465  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 9.20071315776447
  [20210617_011456]: Samplename: Sample#4  
  Root: 9.201  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 21.8059597540512
  [20210617_011456]: Samplename: Sample#5  
  Root: 21.806  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 23.0837964041962
  [20210617_011456]: Samplename: Sample#6  
  Root: 23.084  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 45.5034239075754
  [20210617_011456]: Samplename: Sample#7  
  Root: 45.503  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 85.6987903369942
  [20210617_011456]: Samplename: Sample#8  
  Root: 85.699  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -3.66512742523123
  [20210617_011456]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -3.665  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011456]: Solving cubic regression for CpG#2
  Coefficients: -60.0166632996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#1  
  Root: 76.388  
  --> Root in between the borders! Added to results.
  Coefficients: -19.33132996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#10  
  Root: 31.437  
  --> Root in between the borders! Added to results.
  Coefficients: -28.1616632996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#2  
  Root: 42.956  
  --> Root in between the borders! Added to results.
  Coefficients: -42.07832996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#3  
  Root: 58.838  
  --> Root in between the borders! Added to results.
  Coefficients: -2.49332996632996Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#4  
  Root: 4.715  
  --> Root in between the borders! Added to results.
  Coefficients: -11.94832996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#5  
  Root: 20.644  
  --> Root in between the borders! Added to results.
  Coefficients: -10.36332996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#6  
  Root: 18.159  
  --> Root in between the borders! Added to results.
  Coefficients: -26.77132996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#7  
  Root: 41.228  
  --> Root in between the borders! Added to results.
  Coefficients: -70.81532996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#8  
  Root: 85.785  
  --> Root in between the borders! Added to results.
  Coefficients: -1.41332996632996Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011456]: Samplename: Sample#9  
  Root: 2.703  
  --> Root in between the borders! Added to results.
  [20210617_011456]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 74.9349251673815
  [20210617_011456]: Samplename: Sample#1  
  Root: 74.935  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 27.6844377451124
  [20210617_011456]: Samplename: Sample#10  
  Root: 27.684  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 41.8520185839454
  [20210617_011456]: Samplename: Sample#2  
  Root: 41.852  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 55.8325175161258
  [20210617_011456]: Samplename: Sample#3  
  Root: 55.833  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.03519250497947
  [20210617_011456]: Samplename: Sample#4  
  Root: 8.035  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.1066312116183
  [20210617_011456]: Samplename: Sample#5  
  Root: 24.107  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.2419816097773
  [20210617_011456]: Samplename: Sample#6  
  Root: 26.242  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 44.0944917345553
  [20210617_011457]: Samplename: Sample#7  
  Root: 44.094  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 85.8279382829075
  [20210617_011457]: Samplename: Sample#8  
  Root: 85.828  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -0.666482137507617
  [20210617_011457]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.666  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011457]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: 76.3495278640236
  [20210617_011457]: Samplename: Sample#1  
  Root: 76.35  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.2568553570941
  [20210617_011457]: Samplename: Sample#10  
  Root: 28.257  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 43.4089839390807
  [20210617_011457]: Samplename: Sample#2  
  Root: 43.409  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 58.5435236860146
  [20210617_011457]: Samplename: Sample#3  
  Root: 58.544  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.3087045690571
  [20210617_011457]: Samplename: Sample#4  
  Root: 10.309  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 22.183045165659
  [20210617_011457]: Samplename: Sample#5  
  Root: 22.183  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 27.1337769553499
  [20210617_011457]: Samplename: Sample#6  
  Root: 27.134  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 41.8321096080155
  [20210617_011457]: Samplename: Sample#7  
  Root: 41.832  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 85.6890189074743
  [20210617_011457]: Samplename: Sample#8  
  Root: 85.689  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 2.42232098177269
  [20210617_011457]: Samplename: Sample#9  
  Root: 2.422  
  --> Root in between the borders! Added to results.
  [20210617_011457]: Solving cubic regression for CpG#5
  Coefficients: -48.4612946127946Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#1  
  Root: 72.291  
  --> Root in between the borders! Added to results.
  Coefficients: -14.2119612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#10  
  Root: 27.256  
  --> Root in between the borders! Added to results.
  Coefficients: -25.9451041366041Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#2  
  Root: 44.648  
  --> Root in between the borders! Added to results.
  Coefficients: -32.6879612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#3  
  Root: 53.538  
  --> Root in between the borders! Added to results.
  Coefficients: -4.69796127946128Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#4  
  Root: 10.206  
  --> Root in between the borders! Added to results.
  Coefficients: -12.0579612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#5  
  Root: 23.695  
  --> Root in between the borders! Added to results.
  Coefficients: -13.9179612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#6  
  Root: 26.778  
  --> Root in between the borders! Added to results.
  Coefficients: -24.9119612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#7  
  Root: 43.226  
  --> Root in between the borders! Added to results.
  Coefficients: -63.7579612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#8  
  Root: 88.581  
  --> Root in between the borders! Added to results.
  Coefficients: -0.587961279461277Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: Sample#9  
  Root: 1.375  
  --> Root in between the borders! Added to results.
  [20210617_011457]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 79.2780594157551
  [20210617_011457]: Samplename: Sample#1  
  Root: 79.278  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 30.2012460138012
  [20210617_011457]: Samplename: Sample#10  
  Root: 30.201  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 41.847439510147
  [20210617_011457]: Samplename: Sample#2  
  Root: 41.847  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 56.8423518784273
  [20210617_011457]: Samplename: Sample#3  
  Root: 56.842  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.87856044151592
  [20210617_011457]: Samplename: Sample#4  
  Root: 8.879  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 18.6901595547054
  [20210617_011457]: Samplename: Sample#5  
  Root: 18.69  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.9309264677704
  [20210617_011457]: Samplename: Sample#6  
  Root: 29.931  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.8148561518761
  [20210617_011457]: Samplename: Sample#7  
  Root: 42.815  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 86.7501831400832
  [20210617_011457]: Samplename: Sample#8  
  Root: 86.75  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 1.51516186075054
  [20210617_011457]: Samplename: Sample#9  
  Root: 1.515  
  --> Root in between the borders! Added to results.
  [20210617_011457]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: 78.2565594801793
  [20210617_011457]: Samplename: Sample#1  
  Root: 78.257  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.488739689618
  [20210617_011457]: Samplename: Sample#10  
  Root: 25.489  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 47.3712263965521
  [20210617_011457]: Samplename: Sample#2  
  Root: 47.371  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 58.3142677929735
  [20210617_011457]: Samplename: Sample#3  
  Root: 58.314  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.7212232179172
  [20210617_011457]: Samplename: Sample#4  
  Root: 11.721  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.3797489379823
  [20210617_011457]: Samplename: Sample#5  
  Root: 25.38  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.4095136983153
  [20210617_011457]: Samplename: Sample#6  
  Root: 29.41  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 44.575507647774
  [20210617_011457]: Samplename: Sample#7  
  Root: 44.576  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 85.9628731612551
  [20210617_011457]: Samplename: Sample#8  
  Root: 85.963  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -4.16456508254945
  [20210617_011457]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -4.165  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011457]: Solving cubic regression for CpG#8
  Coefficients: -56.4535185185185Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#1  
  Root: 72.337  
  --> Root in between the borders! Added to results.
  Coefficients: -18.6701851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#10  
  Root: 28.678  
  --> Root in between the borders! Added to results.
  Coefficients: -24.0387566137566Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#2  
  Root: 35.595  
  --> Root in between the borders! Added to results.
  Coefficients: -43.9451851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#3  
  Root: 58.861  
  --> Root in between the borders! Added to results.
  Coefficients: -5.70018518518518Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#4  
  Root: 9.868  
  --> Root in between the borders! Added to results.
  Coefficients: -12.4851851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#5  
  Root: 20.166  
  --> Root in between the borders! Added to results.
  Coefficients: -26.8801851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#6  
  Root: 39.117  
  --> Root in between the borders! Added to results.
  Coefficients: -31.8421851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#7  
  Root: 45.08  
  --> Root in between the borders! Added to results.
  Coefficients: -68.0081851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#8  
  Root: 84.373  
  --> Root in between the borders! Added to results.
  Coefficients: 2.07981481481482Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -4.026  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011457]: Solving cubic regression for CpG#9
  Coefficients: -60.8091986531987Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#1  
  Root: 81.262  
  --> Root in between the borders! Added to results.
  Coefficients: -14.5538653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#10  
  Root: 24.569  
  --> Root in between the borders! Added to results.
  Coefficients: -26.6344367484368Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#2  
  Root: 45.035  
  --> Root in between the borders! Added to results.
  Coefficients: -35.4783653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#3  
  Root: 57.113  
  --> Root in between the borders! Added to results.
  Coefficients: -4.73586531986533Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#4  
  Root: 7.362  
  --> Root in between the borders! Added to results.
  Coefficients: -12.5308653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#5  
  Root: 20.907  
  --> Root in between the borders! Added to results.
  Coefficients: -21.9358653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#6  
  Root: 37.545  
  --> Root in between the borders! Added to results.
  Coefficients: -25.1998653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#7  
  Root: 42.828  
  --> Root in between the borders! Added to results.
  Coefficients: -70.5118653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#8  
  Root: 88.082  
  --> Root in between the borders! Added to results.
  Coefficients: -0.505865319865327Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: Sample#9  
  Root: 0.749  
  --> Root in between the borders! Added to results.
  [20210617_011457]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 77.0692800244989
  [20210617_011457]: Samplename: Sample#1  
  Root: 77.069  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.3620043386098
  [20210617_011457]: Samplename: Sample#10  
  Root: 28.362  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.5026175879139
  [20210617_011457]: Samplename: Sample#2  
  Root: 42.503  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 57.2972050939109
  [20210617_011457]: Samplename: Sample#3  
  Root: 57.297  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.82704007264288
  [20210617_011457]: Samplename: Sample#4  
  Root: 8.827  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 21.8102592478746
  [20210617_011457]: Samplename: Sample#5  
  Root: 21.81  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.722866019667
  [20210617_011457]: Samplename: Sample#6  
  Root: 28.723  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 43.4105103328991
  [20210617_011457]: Samplename: Sample#7  
  Root: 43.411  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 86.4143552031164
  [20210617_011457]: Samplename: Sample#8  
  Root: 86.414  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -0.23702066815268
  [20210617_011457]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.237  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011457]: Entered 'solving_equations'-Function
  [20210617_011457]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: -2.2322293232201
  [20210617_011457]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -2.232  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 12.1698489740132
  [20210617_011457]: Samplename: 12.5  
  Root: 12.17  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.478191666445
  [20210617_011457]: Samplename: 25  
  Root: 24.478  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.1730441449564
  [20210617_011457]: Samplename: 37.5  
  Root: 38.173  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.3349365414557
  [20210617_011457]: Samplename: 50  
  Root: 52.335  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4582768164567
  [20210617_011457]: Samplename: 62.5  
  Root: 65.458  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.0090791576696
  [20210617_011457]: Samplename: 75  
  Root: 75.009  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 81.5271918976313
  [20210617_011457]: Samplename: 87.5  
  Root: 81.527  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.400893698577
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.401  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving cubic regression for CpG#2
  Coefficients: -0.283329966329966Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 0  
  Root: 0.549  
  --> Root in between the borders! Added to results.
  Coefficients: -6.33999663299663Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 12.5  
  Root: 11.533  
  --> Root in between the borders! Added to results.
  Coefficients: -15.93932996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 25  
  Root: 26.628  
  --> Root in between the borders! Added to results.
  Coefficients: -22.33732996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 37.5  
  Root: 35.509  
  --> Root in between the borders! Added to results.
  Coefficients: -32.22832996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 50  
  Root: 47.851  
  --> Root in between the borders! Added to results.
  Coefficients: -49.96332996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 62.5  
  Root: 66.893  
  --> Root in between the borders! Added to results.
  Coefficients: -58.96582996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 75  
  Root: 75.431  
  --> Root in between the borders! Added to results.
  Coefficients: -68.8366632996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 87.5  
  Root: 84.118  
  --> Root in between the borders! Added to results.
  Coefficients: -90.57732996633Coefficients: 0.514821742825076Coefficients: 0.00293158941798942Coefficients: 8.04237934904601e-06
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.287  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 0.512356752802174
  [20210617_011457]: Samplename: 0  
  Root: 0.512  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.7523883460225
  [20210617_011457]: Samplename: 12.5  
  Root: 10.752  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.5218904123535
  [20210617_011457]: Samplename: 25  
  Root: 25.522  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 36.527045764285
  [20210617_011457]: Samplename: 37.5  
  Root: 36.527  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.7909239725678
  [20210617_011457]: Samplename: 50  
  Root: 50.791  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.868631341525
  [20210617_011457]: Samplename: 62.5  
  Root: 64.869  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 77.5524186632508
  [20210617_011457]: Samplename: 75  
  Root: 77.552  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 80.4374616173749
  [20210617_011457]: Samplename: 87.5  
  Root: 80.437  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.704025507214
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.704  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: -0.519503092357606
  [20210617_011457]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.52  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 12.4934147844872
  [20210617_011457]: Samplename: 12.5  
  Root: 12.493  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.2685420024115
  [20210617_011457]: Samplename: 25  
  Root: 24.269  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.0817128465023
  [20210617_011457]: Samplename: 37.5  
  Root: 38.082  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 48.5843181174811
  [20210617_011457]: Samplename: 50  
  Root: 48.584  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.6722399183037
  [20210617_011457]: Samplename: 62.5  
  Root: 67.672  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.1549277799119
  [20210617_011457]: Samplename: 75  
  Root: 74.155  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.8821797890026
  [20210617_011457]: Samplename: 87.5  
  Root: 82.882  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 102.0791269023
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.079  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving cubic regression for CpG#5
  Coefficients: -0.623961279461278Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 0  
  Root: 1.458  
  --> Root in between the borders! Added to results.
  Coefficients: -4.76796127946128Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 12.5  
  Root: 10.347  
  --> Root in between the borders! Added to results.
  Coefficients: -12.7259612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 25  
  Root: 24.815  
  --> Root in between the borders! Added to results.
  Coefficients: -21.1599612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 37.5  
  Root: 37.902  
  --> Root in between the borders! Added to results.
  Coefficients: -30.6954612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 50  
  Root: 50.977  
  --> Root in between the borders! Added to results.
  Coefficients: -39.6579612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 62.5  
  Root: 62.126  
  --> Root in between the borders! Added to results.
  Coefficients: -51.6829612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 75  
  Root: 75.852  
  --> Root in between the borders! Added to results.
  Coefficients: -61.0146279461279Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 87.5  
  Root: 85.767  
  --> Root in between the borders! Added to results.
  Coefficients: -76.0699612794613Coefficients: 0.422446384479718Coefficients: 0.00375371236171235Coefficients: -4.48459708193036e-06
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.743  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 0.138163645228118
  [20210617_011457]: Samplename: 0  
  Root: 0.138  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.8635558933418
  [20210617_011457]: Samplename: 12.5  
  Root: 11.864  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.5107450541178
  [20210617_011457]: Samplename: 25  
  Root: 26.511  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.3205074382816
  [20210617_011457]: Samplename: 37.5  
  Root: 35.321  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.057076910014
  [20210617_011457]: Samplename: 50  
  Root: 50.057  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.9602945633439
  [20210617_011457]: Samplename: 62.5  
  Root: 64.96  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.6689058030365
  [20210617_011457]: Samplename: 75  
  Root: 73.669  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 87.1266086538812
  [20210617_011457]: Samplename: 87.5  
  Root: 87.127  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100.261636882607
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 100.262  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: -1.37238114780366
  [20210617_011457]: Samplename: 0  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -1.372  
  --> '-10 < root < 0' --> substitute 0
  Hyperbolic solved: 10.1993162811953
  [20210617_011457]: Samplename: 12.5  
  Root: 10.199  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.5951792943117
  [20210617_011457]: Samplename: 25  
  Root: 24.595  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.8310425745541
  [20210617_011457]: Samplename: 37.5  
  Root: 37.831  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 53.558874469197
  [20210617_011457]: Samplename: 50  
  Root: 53.559  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.9364952058423
  [20210617_011457]: Samplename: 62.5  
  Root: 65.936  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.7361097122942
  [20210617_011457]: Samplename: 75  
  Root: 75.736  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 79.4328239604749
  [20210617_011457]: Samplename: 87.5  
  Root: 79.433  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 103.004236576809
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 103.004  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving cubic regression for CpG#8
  Coefficients: -1.09618518518518Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 0  
  Root: 2.016  
  --> Root in between the borders! Added to results.
  Coefficients: -5.44685185185185Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 12.5  
  Root: 9.458  
  --> Root in between the borders! Added to results.
  Coefficients: -16.9301851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 25  
  Root: 26.35  
  --> Root in between the borders! Added to results.
  Coefficients: -23.3501851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 37.5  
  Root: 34.728  
  --> Root in between the borders! Added to results.
  Coefficients: -37.6251851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 50  
  Root: 51.781  
  --> Root in between the borders! Added to results.
  Coefficients: -48.8261851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 62.5  
  Root: 64.192  
  --> Root in between the borders! Added to results.
  Coefficients: -61.6676851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 75  
  Root: 77.804  
  --> Root in between the borders! Added to results.
  Coefficients: -64.5101851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 87.5  
  Root: 80.758  
  --> Root in between the borders! Added to results.
  Coefficients: -86.0601851851852Coefficients: 0.534897737694404Coefficients: 0.00447978143338143Coefficients: -1.50060965207632e-05
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 102.834  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving cubic regression for CpG#9
  Coefficients: -0.989865319865327Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 0  
  Root: 1.475  
  --> Root in between the borders! Added to results.
  Coefficients: -6.39586531986533Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 12.5  
  Root: 10.12  
  --> Root in between the borders! Added to results.
  Coefficients: -14.7058653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 25  
  Root: 24.844  
  --> Root in between the borders! Added to results.
  Coefficients: -20.6238653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 37.5  
  Root: 35.327  
  --> Root in between the borders! Added to results.
  Coefficients: -31.3958653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 50  
  Root: 51.855  
  --> Root in between the borders! Added to results.
  Coefficients: -42.6858653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 62.5  
  Root: 65.265  
  --> Root in between the borders! Added to results.
  Coefficients: -52.9033653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 75  
  Root: 74.915  
  --> Root in between the borders! Added to results.
  Coefficients: -65.492531986532Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 87.5  
  Root: 84.67  
  --> Root in between the borders! Added to results.
  Coefficients: -92.9898653198653Coefficients: 0.67899229597563Coefficients: -0.00542281173641174Coefficients: 7.72300426487093e-05
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.082  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 0.290940373366124
  [20210617_011457]: Samplename: 0  
  Root: 0.291  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.0412405652041
  [20210617_011457]: Samplename: 12.5  
  Root: 11.041  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.408150327248
  [20210617_011457]: Samplename: 25  
  Root: 25.408  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 36.5243723508302
  [20210617_011457]: Samplename: 37.5  
  Root: 36.524  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.7348830011429
  [20210617_011457]: Samplename: 50  
  Root: 50.735  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.3135214706409
  [20210617_011457]: Samplename: 62.5  
  Root: 65.314  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.5342712271394
  [20210617_011457]: Samplename: 75  
  Root: 75.534  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 83.24112297174
  [20210617_011457]: Samplename: 87.5  
  Root: 83.241  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 101.666942221372
  [20210617_011457]: Samplename: 100  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Positive numeric root found:  
  Root: 101.667  
  --> '100 < root < 110' --> substitute 100
  [20210617_011457]: Entered 'clean_dt'-Function
  [20210617_011457]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011457]: got experimental data
  [20210617_011457]: Entered 'clean_dt'-Function
  [20210617_011457]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011457]: got calibration data
  [20210617_011458]: ### Starting with regression calculations ###
  [20210617_011458]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  [20210617_011458]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011458]: Logging df_agg: CpG#1
  [20210617_011458]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011458]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011458]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011458]: Entered 'hyperbolic_regression'-Function
  [20210617_011458]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011459]: Entered 'cubic_regression'-Function
  [20210617_011459]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011459]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011459]: Logging df_agg: CpG#2
  [20210617_011459]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011459]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011459]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011459]: Entered 'hyperbolic_regression'-Function
  [20210617_011459]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011500]: Entered 'cubic_regression'-Function
  [20210617_011500]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011500]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011500]: Logging df_agg: CpG#3
  [20210617_011500]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011500]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011500]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011500]: Entered 'hyperbolic_regression'-Function
  [20210617_011500]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011500]: Entered 'cubic_regression'-Function
  [20210617_011500]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011501]: Logging df_agg: CpG#4
  [20210617_011501]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011501]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011501]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011501]: Entered 'hyperbolic_regression'-Function
  [20210617_011501]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: Entered 'cubic_regression'-Function
  [20210617_011501]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011501]: Logging df_agg: CpG#5
  [20210617_011501]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011501]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011501]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011501]: Entered 'hyperbolic_regression'-Function
  [20210617_011501]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011502]: Entered 'cubic_regression'-Function
  [20210617_011502]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011458]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011458]: Logging df_agg: CpG#6
  [20210617_011458]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011458]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011458]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011458]: Entered 'hyperbolic_regression'-Function
  [20210617_011458]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011458]: Entered 'cubic_regression'-Function
  [20210617_011458]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011458]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011458]: Logging df_agg: CpG#7
  [20210617_011458]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011458]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011458]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011458]: Entered 'hyperbolic_regression'-Function
  [20210617_011458]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011459]: Entered 'cubic_regression'-Function
  [20210617_011459]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011459]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011459]: Logging df_agg: CpG#8
  [20210617_011459]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011459]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011459]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011459]: Entered 'hyperbolic_regression'-Function
  [20210617_011459]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011500]: Entered 'cubic_regression'-Function
  [20210617_011500]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011500]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011500]: Logging df_agg: CpG#9
  [20210617_011500]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011500]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011500]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011500]: Entered 'hyperbolic_regression'-Function
  [20210617_011500]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: Entered 'cubic_regression'-Function
  [20210617_011501]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011501]: Logging df_agg: row_means
  [20210617_011501]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011501]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011501]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011501]: Entered 'hyperbolic_regression'-Function
  [20210617_011501]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011501]: Entered 'cubic_regression'-Function
  [20210617_011501]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011503]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  [20210617_011503]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011503]: Logging df_agg: CpG#1
  [20210617_011503]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011503]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011503]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011503]: Entered 'hyperbolic_regression'-Function
  [20210617_011503]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011504]: Entered 'cubic_regression'-Function
  [20210617_011504]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011504]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011504]: Logging df_agg: CpG#2
  [20210617_011504]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011504]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011504]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011504]: Entered 'hyperbolic_regression'-Function
  [20210617_011504]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: Entered 'cubic_regression'-Function
  [20210617_011505]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011505]: Logging df_agg: CpG#3
  [20210617_011505]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011505]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011505]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011505]: Entered 'hyperbolic_regression'-Function
  [20210617_011505]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: Entered 'cubic_regression'-Function
  [20210617_011506]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011506]: Logging df_agg: CpG#4
  [20210617_011506]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011506]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011506]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011506]: Entered 'hyperbolic_regression'-Function
  [20210617_011506]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: Entered 'cubic_regression'-Function
  [20210617_011506]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011506]: Logging df_agg: CpG#5
  [20210617_011506]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011506]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011506]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011506]: Entered 'hyperbolic_regression'-Function
  [20210617_011506]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: Entered 'cubic_regression'-Function
  [20210617_011506]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011503]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011503]: Logging df_agg: CpG#6
  [20210617_011503]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011503]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011503]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011503]: Entered 'hyperbolic_regression'-Function
  [20210617_011503]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011504]: Entered 'cubic_regression'-Function
  [20210617_011504]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011504]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011504]: Logging df_agg: CpG#7
  [20210617_011504]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011504]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011504]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011504]: Entered 'hyperbolic_regression'-Function
  [20210617_011504]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: Entered 'cubic_regression'-Function
  [20210617_011505]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011505]: Logging df_agg: CpG#8
  [20210617_011505]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011505]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011505]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011505]: Entered 'hyperbolic_regression'-Function
  [20210617_011505]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: Entered 'cubic_regression'-Function
  [20210617_011505]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011505]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011505]: Logging df_agg: CpG#9
  [20210617_011505]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011505]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011505]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011505]: Entered 'hyperbolic_regression'-Function
  [20210617_011505]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: Entered 'cubic_regression'-Function
  [20210617_011506]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011506]: Logging df_agg: row_means
  [20210617_011506]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011506]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011506]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011506]: Entered 'hyperbolic_regression'-Function
  [20210617_011506]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011506]: Entered 'cubic_regression'-Function
  [20210617_011506]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011508]: Entered 'clean_dt'-Function
  [20210617_011508]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011508]: got experimental data
  [20210617_011508]: Entered 'clean_dt'-Function
  [20210617_011508]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011508]: got calibration data
  [20210617_011508]: ### Starting with regression calculations ###
  [20210617_011508]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  [20210617_011508]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011508]: Logging df_agg: CpG#1
  [20210617_011508]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011508]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011508]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011508]: Entered 'hyperbolic_regression'-Function
  [20210617_011508]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: Entered 'cubic_regression'-Function
  [20210617_011509]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011509]: Logging df_agg: CpG#2
  [20210617_011509]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011509]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011509]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011509]: Entered 'hyperbolic_regression'-Function
  [20210617_011509]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: Entered 'cubic_regression'-Function
  [20210617_011509]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011510]: Logging df_agg: CpG#3
  [20210617_011510]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011510]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011510]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011510]: Entered 'hyperbolic_regression'-Function
  [20210617_011510]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: Entered 'cubic_regression'-Function
  [20210617_011510]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011510]: Logging df_agg: CpG#4
  [20210617_011510]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011510]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011510]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011510]: Entered 'hyperbolic_regression'-Function
  [20210617_011510]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011511]: Entered 'cubic_regression'-Function
  [20210617_011511]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011511]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011511]: Logging df_agg: CpG#5
  [20210617_011511]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011511]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011511]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011511]: Entered 'hyperbolic_regression'-Function
  [20210617_011511]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011511]: Entered 'cubic_regression'-Function
  [20210617_011511]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011508]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011508]: Logging df_agg: CpG#6
  [20210617_011508]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011508]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011508]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011508]: Entered 'hyperbolic_regression'-Function
  [20210617_011508]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: Entered 'cubic_regression'-Function
  [20210617_011509]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011509]: Logging df_agg: CpG#7
  [20210617_011509]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011509]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011509]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011509]: Entered 'hyperbolic_regression'-Function
  [20210617_011509]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: Entered 'cubic_regression'-Function
  [20210617_011509]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011509]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011509]: Logging df_agg: CpG#8
  [20210617_011509]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011509]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011509]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011509]: Entered 'hyperbolic_regression'-Function
  [20210617_011509]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: Entered 'cubic_regression'-Function
  [20210617_011510]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011510]: Logging df_agg: CpG#9
  [20210617_011510]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011510]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011510]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011510]: Entered 'hyperbolic_regression'-Function
  [20210617_011510]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011510]: Entered 'cubic_regression'-Function
  [20210617_011510]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011511]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011511]: Logging df_agg: row_means
  [20210617_011511]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011511]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011511]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011511]: Entered 'hyperbolic_regression'-Function
  [20210617_011511]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011511]: Entered 'cubic_regression'-Function
  [20210617_011511]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011512]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  [20210617_011513]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011513]: Logging df_agg: CpG#1
  [20210617_011513]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011513]: c(2.968, 10.2733333333333, 17.32, 26.212, 36.8325, 48.286, 57.825, 65.03, 92.978)[20210617_011513]: c(0.784136467714645, 3.04161689456995, 1.76398696140306, 3.58204829671516, 2.74881034873877, 2.65410625258297, 4.52087380934261, 2.01106936727702, 0.717892749649975)
  [20210617_011513]: Entered 'hyperbolic_regression'-Function
  [20210617_011513]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011513]: Entered 'cubic_regression'-Function
  [20210617_011513]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011514]: Logging df_agg: CpG#2
  [20210617_011514]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011514]: c(9.56, 15.6166666666667, 25.216, 31.614, 41.505, 59.24, 68.2425, 78.1133333333333, 99.854)[20210617_011514]: c(1.73731114081502, 3.47246790241945, 5.1327702072078, 7.8896913754595, 6.75096783184949, 5.34066943369462, 6.12841673408937, 3.68391548943965, 0.326465924714971)
  [20210617_011514]: Entered 'hyperbolic_regression'-Function
  [20210617_011514]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: Entered 'cubic_regression'-Function
  [20210617_011514]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011514]: Logging df_agg: CpG#3
  [20210617_011514]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011514]: c(4.79, 10.46, 19.316, 26.5, 36.6625, 47.776, 58.8625, 61.5433333333333, 84.552)[20210617_011514]: c(1.09893129903557, 3.07434545879281, 2.06842452122382, 5.15145125183186, 2.05736684461798, 1.72031392484047, 3.61472336424241, 1.32869610270119, 2.92314385550899)
  [20210617_011514]: Entered 'hyperbolic_regression'-Function
  [20210617_011514]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011515]: Entered 'cubic_regression'-Function
  [20210617_011515]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011515]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011515]: Logging df_agg: CpG#4
  [20210617_011515]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011515]: c(6.768, 14.4233333333333, 21.974, 31.698, 39.8075, 56.426, 62.71, 71.7633333333333, 94.492)[20210617_011515]: c(2.01053972853063, 1.4578865982419, 2.5033038169587, 4.72756491229893, 2.63379795479203, 3.99248418907326, 9.01051977783006, 4.24883905712294, 3.62526136988769)
  [20210617_011515]: Entered 'hyperbolic_regression'-Function
  [20210617_011515]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011516]: Entered 'cubic_regression'-Function
  [20210617_011516]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011516]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011516]: Logging df_agg: CpG#5
  [20210617_011516]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011516]: c(5.796, 9.94, 17.898, 26.332, 35.8675, 44.83, 56.855, 66.1866666666667, 81.242)[20210617_011516]: c(1.07867047794959, 2.24581833637541, 2.57018870902508, 3.58584996897528, 5.496025078788, 6.08278308013692, 5.04371886607491, 2.40791057419775, 5.77276969919986)
  [20210617_011516]: Entered 'hyperbolic_regression'-Function
  [20210617_011516]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011517]: Entered 'cubic_regression'-Function
  [20210617_011517]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011513]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011513]: Logging df_agg: CpG#6
  [20210617_011513]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011513]: c(6.344, 12.8866666666667, 22.036, 28.148, 39.5925, 53.048, 61.98, 77.6933333333333, 95.804)[20210617_011513]: c(1.10974321354086, 4.54314135079829, 1.96134647627593, 5.4722545627922, 4.77866351608899, 7.74987225701172, 5.11307474356999, 3.32800741185072, 5.10348214457541)
  [20210617_011513]: Entered 'hyperbolic_regression'-Function
  [20210617_011513]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011513]: Entered 'cubic_regression'-Function
  [20210617_011513]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011514]: Logging df_agg: CpG#7
  [20210617_011514]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011514]: c(2.936, 7.11666666666667, 12.986, 19.172, 27.7525, 35.686, 42.89, 45.8566666666667, 68.944)[20210617_011514]: c(1.12025889864799, 1.95152077450724, 1.75196461151474, 2.51024301612414, 3.79406883613534, 5.03340143441788, 9.26798791539998, 2.22086319554657, 4.43931638881484)
  [20210617_011514]: Entered 'hyperbolic_regression'-Function
  [20210617_011514]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: Entered 'cubic_regression'-Function
  [20210617_011514]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011514]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011514]: Logging df_agg: CpG#8
  [20210617_011514]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011514]: c(10.666, 15.0166666666667, 26.5, 32.92, 47.195, 58.396, 71.2375, 74.08, 95.63)[20210617_011514]: c(2.09203967457599, 1.0042576030747, 6.57304723853404, 9.3202655541567, 13.0680615752044, 12.1853736093728, 8.65580104130557, 4.16176645188074, 6.5153434291678)
  [20210617_011514]: Entered 'hyperbolic_regression'-Function
  [20210617_011514]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011515]: Entered 'cubic_regression'-Function
  [20210617_011515]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011515]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011515]: Logging df_agg: CpG#9
  [20210617_011515]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011515]: c(3.714, 9.12, 17.43, 23.348, 34.12, 45.41, 55.6275, 68.2166666666667, 95.714)[20210617_011515]: c(1.02119048174178, 2.16589473428419, 5.20318171891007, 6.16761055839293, 7.42462120245875, 9.14966392825442, 15.0005163800006, 4.36616918285736, 4.89711956153819)
  [20210617_011515]: Entered 'hyperbolic_regression'-Function
  [20210617_011515]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011516]: Entered 'cubic_regression'-Function
  [20210617_011516]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011516]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011516]: Logging df_agg: row_means
  [20210617_011516]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011516]: c(5.94911111111111, 11.6503703703704, 20.0751111111111, 27.3271111111111, 37.7038888888889, 49.8997777777778, 59.5811111111111, 67.6092592592593, 89.9122222222222)[20210617_011516]: c(0.633290154473514, 1.0960165433854, 1.72385972331829, 4.20633088405713, 3.39104782475775, 2.96189059992531, 5.65352273733499, 0.926454367723125, 2.47760998435345)
  [20210617_011516]: Entered 'hyperbolic_regression'-Function
  [20210617_011516]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011517]: Entered 'cubic_regression'-Function
  [20210617_011517]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011518]: Entered 'solving_equations'-Function
  [20210617_011518]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 14.138116020495
  [20210617_011518]: Samplename: 12.5  
  Root: 14.138  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.1241054472135
  [20210617_011518]: Samplename: 25  
  Root: 26.124  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 39.3567420237414
  [20210617_011518]: Samplename: 37.5  
  Root: 39.357  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.9273108919472
  [20210617_011518]: Samplename: 50  
  Root: 52.927  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4010630010453
  [20210617_011518]: Samplename: 62.5  
  Root: 65.401  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.4183185100385
  [20210617_011518]: Samplename: 75  
  Root: 74.418  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 80.5431521227805
  [20210617_011518]: Samplename: 87.5  
  Root: 80.543  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#2
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.7851657337049
  [20210617_011518]: Samplename: 12.5  
  Root: 10.785  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.0727152801188
  [20210617_011518]: Samplename: 25  
  Root: 26.073  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.2074258973506
  [20210617_011518]: Samplename: 37.5  
  Root: 35.207  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 47.930592558343
  [20210617_011518]: Samplename: 50  
  Root: 47.931  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.2847556099355
  [20210617_011518]: Samplename: 62.5  
  Root: 67.285  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.735332464851
  [20210617_011518]: Samplename: 75  
  Root: 75.735  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.1313048322784
  [20210617_011518]: Samplename: 87.5  
  Root: 84.131  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.8497990974132
  [20210617_011518]: Samplename: 12.5  
  Root: 10.85  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.1511184372613
  [20210617_011518]: Samplename: 25  
  Root: 26.151  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.2940214316679
  [20210617_011518]: Samplename: 37.5  
  Root: 37.294  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.4193612450502
  [20210617_011518]: Samplename: 50  
  Root: 51.419  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.0212051861882
  [20210617_011518]: Samplename: 62.5  
  Root: 65.021  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 76.9977790338101
  [20210617_011518]: Samplename: 75  
  Root: 76.998  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 79.68603624746
  [20210617_011518]: Samplename: 87.5  
  Root: 79.686  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 13.2434477892553
  [20210617_011518]: Samplename: 12.5  
  Root: 13.243  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.0815867823196
  [20210617_011518]: Samplename: 25  
  Root: 25.082  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.7956859385245
  [20210617_011518]: Samplename: 37.5  
  Root: 38.796  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 49.1001600403071
  [20210617_011518]: Samplename: 50  
  Root: 49.1  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.5620415396525
  [20210617_011518]: Samplename: 62.5  
  Root: 67.562  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.7554076204335
  [20210617_011518]: Samplename: 75  
  Root: 73.755  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.0327440961902
  [20210617_011518]: Samplename: 87.5  
  Root: 82.033  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#5
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.36665147240051
  [20210617_011518]: Samplename: 12.5  
  Root: 8.367  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 23.0855280544986
  [20210617_011518]: Samplename: 25  
  Root: 23.086  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.0098401031197
  [20210617_011518]: Samplename: 37.5  
  Root: 37.01  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.0085868634965
  [20210617_011518]: Samplename: 50  
  Root: 51.009  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 62.7441417045648
  [20210617_011518]: Samplename: 62.5  
  Root: 62.744  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 76.6857826167271
  [20210617_011518]: Samplename: 75  
  Root: 76.686  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 86.3046084803835
  [20210617_011518]: Samplename: 87.5  
  Root: 86.305  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.8226877294042
  [20210617_011518]: Samplename: 12.5  
  Root: 11.823  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.5494368740523
  [20210617_011518]: Samplename: 25  
  Root: 26.549  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.384678764038
  [20210617_011518]: Samplename: 37.5  
  Root: 35.385  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.1264563292089
  [20210617_011518]: Samplename: 50  
  Root: 50.126  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.9875101829527
  [20210617_011518]: Samplename: 62.5  
  Root: 64.988  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.6494948208368
  [20210617_011518]: Samplename: 75  
  Root: 73.649  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 87.0033714640681
  [20210617_011518]: Samplename: 87.5  
  Root: 87.003  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011518]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011518]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: 0
  [20210617_011518]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.7925452975974
  [20210617_011518]: Samplename: 12.5  
  Root: 11.793  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.2042825524252
  [20210617_011518]: Samplename: 25  
  Root: 26.204  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 39.2081607340003
  [20210617_011518]: Samplename: 37.5  
  Root: 39.208  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 54.3620764209656
  [20210617_011519]: Samplename: 50  
  Root: 54.362  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 66.0664880421958
  [20210617_011519]: Samplename: 62.5  
  Root: 66.066  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.1981505659702
  [20210617_011519]: Samplename: 75  
  Root: 75.198  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 78.6124356198202
  [20210617_011519]: Samplename: 87.5  
  Root: 78.612  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011519]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011519]: Solving hyperbolic regression for CpG#8
  Hyperbolic solved: 0
  [20210617_011519]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 7.27736111347918
  [20210617_011519]: Samplename: 12.5  
  Root: 7.277  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.9863834077866
  [20210617_011519]: Samplename: 25  
  Root: 24.986  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 34.0400822120647
  [20210617_011519]: Samplename: 37.5  
  Root: 34.04  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.3077191765088
  [20210617_011519]: Samplename: 50  
  Root: 52.308  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.0861557880688
  [20210617_011519]: Samplename: 62.5  
  Root: 65.086  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 78.3136587441442
  [20210617_011519]: Samplename: 75  
  Root: 78.314  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 81.0582486734588
  [20210617_011519]: Samplename: 87.5  
  Root: 81.058  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011519]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011519]: Solving hyperbolic regression for CpG#9
  Hyperbolic solved: 0
  [20210617_011519]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 12.2094907186795
  [20210617_011519]: Samplename: 12.5  
  Root: 12.209  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.0738987271414
  [20210617_011519]: Samplename: 25  
  Root: 28.074  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.6720255886341
  [20210617_011519]: Samplename: 37.5  
  Root: 37.672  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.3746310250655
  [20210617_011519]: Samplename: 50  
  Root: 52.375  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.8693633105953
  [20210617_011519]: Samplename: 62.5  
  Root: 64.869  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.259890365911
  [20210617_011519]: Samplename: 75  
  Root: 74.26  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 83.9376844794149
  [20210617_011519]: Samplename: 87.5  
  Root: 83.938  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011519]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011519]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 0
  [20210617_011519]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.1506883029322
  [20210617_011519]: Samplename: 12.5  
  Root: 11.151  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.8416364087808
  [20210617_011519]: Samplename: 25  
  Root: 25.842  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.0462679836135
  [20210617_011519]: Samplename: 37.5  
  Root: 37.046  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.1681298116344
  [20210617_011519]: Samplename: 50  
  Root: 51.168  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4258218208993
  [20210617_011519]: Samplename: 62.5  
  Root: 65.426  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.2856328151292
  [20210617_011519]: Samplename: 75  
  Root: 75.286  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.6475419524492
  [20210617_011519]: Samplename: 87.5  
  Root: 82.648  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011519]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011519]: ### Starting with regression calculations ###
  [20210617_011519]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011519]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 14.138116020495, 26.1241054472135, 39.3567420237414, 52.9273108919472, 65.4010630010453, 74.4183185100385, 80.5431521227805, 100)
  [20210617_011519]: Logging df_agg: CpG#1
  [20210617_011519]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011519]: c(0, 14.138116020495, 26.1241054472135, 39.3567420237414, 52.9273108919472, 65.4010630010453, 74.4183185100385, 80.5431521227805, 100)
  [20210617_011519]: Entered 'hyperbolic_regression'-Function
  [20210617_011519]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011520]: Entered 'cubic_regression'-Function
  [20210617_011520]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011520]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.7851657337049, 26.0727152801188, 35.2074258973506, 47.930592558343, 67.2847556099355, 75.735332464851, 84.1313048322784, 100)
  [20210617_011520]: Logging df_agg: CpG#2
  [20210617_011520]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011520]: c(0, 10.7851657337049, 26.0727152801188, 35.2074258973506, 47.930592558343, 67.2847556099355, 75.735332464851, 84.1313048322784, 100)
  [20210617_011520]: Entered 'hyperbolic_regression'-Function
  [20210617_011520]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: Entered 'cubic_regression'-Function
  [20210617_011521]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.8497990974132, 26.1511184372613, 37.2940214316679, 51.4193612450502, 65.0212051861882, 76.9977790338101, 79.68603624746, 100)
  [20210617_011521]: Logging df_agg: CpG#3
  [20210617_011521]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011521]: c(0, 10.8497990974132, 26.1511184372613, 37.2940214316679, 51.4193612450502, 65.0212051861882, 76.9977790338101, 79.68603624746, 100)
  [20210617_011521]: Entered 'hyperbolic_regression'-Function
  [20210617_011521]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: Entered 'cubic_regression'-Function
  [20210617_011521]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 13.2434477892553, 25.0815867823196, 38.7956859385245, 49.1001600403071, 67.5620415396525, 73.7554076204335, 82.0327440961902, 100)
  [20210617_011522]: Logging df_agg: CpG#4
  [20210617_011522]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011522]: c(0, 13.2434477892553, 25.0815867823196, 38.7956859385245, 49.1001600403071, 67.5620415396525, 73.7554076204335, 82.0327440961902, 100)
  [20210617_011522]: Entered 'hyperbolic_regression'-Function
  [20210617_011522]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: Entered 'cubic_regression'-Function
  [20210617_011522]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 8.36665147240051, 23.0855280544986, 37.0098401031197, 51.0085868634965, 62.7441417045648, 76.6857826167271, 86.3046084803835, 100)
  [20210617_011522]: Logging df_agg: CpG#5
  [20210617_011522]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011522]: c(0, 8.36665147240051, 23.0855280544986, 37.0098401031197, 51.0085868634965, 62.7441417045648, 76.6857826167271, 86.3046084803835, 100)
  [20210617_011522]: Entered 'hyperbolic_regression'-Function
  [20210617_011522]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: Entered 'cubic_regression'-Function
  [20210617_011522]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011520]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 11.8226877294042, 26.5494368740523, 35.384678764038, 50.1264563292089, 64.9875101829527, 73.6494948208368, 87.0033714640681, 100)
  [20210617_011520]: Logging df_agg: CpG#6
  [20210617_011520]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011520]: c(0, 11.8226877294042, 26.5494368740523, 35.384678764038, 50.1264563292089, 64.9875101829527, 73.6494948208368, 87.0033714640681, 100)
  [20210617_011520]: Entered 'hyperbolic_regression'-Function
  [20210617_011520]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011520]: Entered 'cubic_regression'-Function
  [20210617_011520]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 11.7925452975974, 26.2042825524252, 39.2081607340003, 54.3620764209656, 66.0664880421958, 75.1981505659702, 78.6124356198202, 100)
  [20210617_011521]: Logging df_agg: CpG#7
  [20210617_011521]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011521]: c(0, 11.7925452975974, 26.2042825524252, 39.2081607340003, 54.3620764209656, 66.0664880421958, 75.1981505659702, 78.6124356198202, 100)
  [20210617_011521]: Entered 'hyperbolic_regression'-Function
  [20210617_011521]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: Entered 'cubic_regression'-Function
  [20210617_011521]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011521]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 7.27736111347918, 24.9863834077866, 34.0400822120647, 52.3077191765088, 65.0861557880688, 78.3136587441442, 81.0582486734588, 100)
  [20210617_011521]: Logging df_agg: CpG#8
  [20210617_011521]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011521]: c(0, 7.27736111347918, 24.9863834077866, 34.0400822120647, 52.3077191765088, 65.0861557880688, 78.3136587441442, 81.0582486734588, 100)
  [20210617_011521]: Entered 'hyperbolic_regression'-Function
  [20210617_011521]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: Entered 'cubic_regression'-Function
  [20210617_011522]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 12.2094907186795, 28.0738987271414, 37.6720255886341, 52.3746310250655, 64.8693633105953, 74.259890365911, 83.9376844794149, 100)
  [20210617_011522]: Logging df_agg: CpG#9
  [20210617_011522]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011522]: c(0, 12.2094907186795, 28.0738987271414, 37.6720255886341, 52.3746310250655, 64.8693633105953, 74.259890365911, 83.9376844794149, 100)
  [20210617_011522]: Entered 'hyperbolic_regression'-Function
  [20210617_011522]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: Entered 'cubic_regression'-Function
  [20210617_011522]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011522]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 11.1506883029322, 25.8416364087808, 37.0462679836135, 51.1681298116344, 65.4258218208993, 75.2856328151292, 82.6475419524492, 100)
  [20210617_011522]: Logging df_agg: row_means
  [20210617_011522]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011522]: c(0, 11.1506883029322, 25.8416364087808, 37.0462679836135, 51.1681298116344, 65.4258218208993, 75.2856328151292, 82.6475419524492, 100)
  [20210617_011522]: Entered 'hyperbolic_regression'-Function
  [20210617_011522]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011523]: Entered 'cubic_regression'-Function
  [20210617_011523]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011524]: Entered 'solving_equations'-Function
  [20210617_011524]: Solving cubic regression for CpG#1
  Coefficients: 0Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -7.30533333333333Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 10.279  
  --> Root in between the borders! Added to results.
  Coefficients: -14.352Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 25  
  Root: 21.591  
  --> Root in between the borders! Added to results.
  Coefficients: -23.244Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 36.617  
  --> Root in between the borders! Added to results.
  Coefficients: -33.8645Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 50  
  Root: 52.729  
  --> Root in between the borders! Added to results.
  Coefficients: -45.318Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 66.532  
  --> Root in between the borders! Added to results.
  Coefficients: -54.857Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 75  
  Root: 75.773  
  --> Root in between the borders! Added to results.
  Coefficients: -62.062Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 81.772  
  --> Root in between the borders! Added to results.
  Coefficients: -90.01Coefficients: 0.769986411716306Coefficients: -0.00657663536346092Coefficients: 7.87777124629786e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#2
  Coefficients: 0Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -6.05666666666666Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 10.991  
  --> Root in between the borders! Added to results.
  Coefficients: -15.656Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 25  
  Root: 26.435  
  --> Root in between the borders! Added to results.
  Coefficients: -22.054Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 35.545  
  --> Root in between the borders! Added to results.
  Coefficients: -31.945Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 50  
  Root: 48.102  
  --> Root in between the borders! Added to results.
  Coefficients: -49.68Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 67.086  
  --> Root in between the borders! Added to results.
  Coefficients: -58.6825Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 75  
  Root: 75.419  
  --> Root in between the borders! Added to results.
  Coefficients: -68.5533333333333Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 83.785  
  --> Root in between the borders! Added to results.
  Coefficients: -90.294Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#3
  Coefficients: 0Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -5.67Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 9.387  
  --> Root in between the borders! Added to results.
  Coefficients: -14.526Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 25  
  Root: 24.373  
  --> Root in between the borders! Added to results.
  Coefficients: -21.71Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 36.135  
  --> Root in between the borders! Added to results.
  Coefficients: -31.8725Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 50  
  Root: 51.29  
  --> Root in between the borders! Added to results.
  Coefficients: -42.986Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 65.561  
  --> Root in between the borders! Added to results.
  Coefficients: -54.0725Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 75  
  Root: 77.683  
  --> Root in between the borders! Added to results.
  Coefficients: -56.7533333333333Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 80.348  
  --> Root in between the borders! Added to results.
  Coefficients: -79.762Coefficients: 0.617172185537044Coefficients: -0.00173040347089521Coefficients: 3.53488161552477e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#4
  Coefficients: 0Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -7.65533333333333Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 11.333  
  --> Root in between the borders! Added to results.
  Coefficients: -15.206Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 25  
  Root: 22.933  
  --> Root in between the borders! Added to results.
  Coefficients: -24.93Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 37.542  
  --> Root in between the borders! Added to results.
  Coefficients: -33.0395Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 50  
  Root: 48.772  
  --> Root in between the borders! Added to results.
  Coefficients: -49.658Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 68.324  
  --> Root in between the borders! Added to results.
  Coefficients: -55.942Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 75  
  Root: 74.614  
  --> Root in between the borders! Added to results.
  Coefficients: -64.9953333333333Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 82.816  
  --> Root in between the borders! Added to results.
  Coefficients: -87.724Coefficients: 0.6988801153402Coefficients: -0.00255689960695093Coefficients: 4.34049845354894e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#5
  Coefficients: 0Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -4.144Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 12.5  
  Root: 9.593  
  --> Root in between the borders! Added to results.
  Coefficients: -12.102Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 25  
  Root: 24.704  
  --> Root in between the borders! Added to results.
  Coefficients: -20.536Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 37.5  
  Root: 38.051  
  --> Root in between the borders! Added to results.
  Coefficients: -30.0715Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 50  
  Root: 51.187  
  --> Root in between the borders! Added to results.
  Coefficients: -39.034Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 62.5  
  Root: 62.269  
  --> Root in between the borders! Added to results.
  Coefficients: -51.059Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 75  
  Root: 75.786  
  --> Root in between the borders! Added to results.
  Coefficients: -60.3906666666667Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 87.5  
  Root: 85.475  
  --> Root in between the borders! Added to results.
  Coefficients: -75.446Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#6
  Coefficients: 0Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -6.54266666666667Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 11.495  
  --> Root in between the borders! Added to results.
  Coefficients: -15.692Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 25  
  Root: 26.346  
  --> Root in between the borders! Added to results.
  Coefficients: -21.804Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 35.332  
  --> Root in between the borders! Added to results.
  Coefficients: -33.2485Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 50  
  Root: 50.228  
  --> Root in between the borders! Added to results.
  Coefficients: -46.704Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 65.055  
  --> Root in between the borders! Added to results.
  Coefficients: -55.636Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 75  
  Root: 73.641  
  --> Root in between the borders! Added to results.
  Coefficients: -71.3493333333333Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 86.903  
  --> Root in between the borders! Added to results.
  Coefficients: -89.46Coefficients: 0.556476268933529Coefficients: 0.000806932475066734Coefficients: 2.57430483559797e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#7
  Coefficients: 0Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -4.18066666666667Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 8.108  
  --> Root in between the borders! Added to results.
  Coefficients: -10.05Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 25  
  Root: 21.288  
  --> Root in between the borders! Added to results.
  Coefficients: -16.236Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 36.173  
  --> Root in between the borders! Added to results.
  Coefficients: -24.8165Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 50  
  Root: 54.247  
  --> Root in between the borders! Added to results.
  Coefficients: -32.75Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 67.087  
  --> Root in between the borders! Added to results.
  Coefficients: -39.954Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 75  
  Root: 76.377  
  --> Root in between the borders! Added to results.
  Coefficients: -42.9206666666667Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 79.728  
  --> Root in between the borders! Added to results.
  Coefficients: -66.008Coefficients: 0.553032183813615Coefficients: -0.00511940405898423Coefficients: 6.18988222084809e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#8
  Coefficients: 0Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -4.35066666666667Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 12.5  
  Root: 8.039  
  --> Root in between the borders! Added to results.
  Coefficients: -15.834Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 25  
  Root: 26.079  
  --> Root in between the borders! Added to results.
  Coefficients: -22.254Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 37.5  
  Root: 34.864  
  --> Root in between the borders! Added to results.
  Coefficients: -36.529Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 50  
  Root: 52.311  
  --> Root in between the borders! Added to results.
  Coefficients: -47.73Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 62.5  
  Root: 64.584  
  --> Root in between the borders! Added to results.
  Coefficients: -60.5715Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 75  
  Root: 77.576  
  --> Root in between the borders! Added to results.
  Coefficients: -63.414Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 87.5  
  Root: 80.326  
  --> Root in between the borders! Added to results.
  Coefficients: -84.964Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for CpG#9
  Coefficients: 0Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -5.406Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 12.5  
  Root: 8.93  
  --> Root in between the borders! Added to results.
  Coefficients: -13.716Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 25  
  Root: 24.492  
  --> Root in between the borders! Added to results.
  Coefficients: -19.634Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 37.5  
  Root: 35.53  
  --> Root in between the borders! Added to results.
  Coefficients: -30.406Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 50  
  Root: 52.349  
  --> Root in between the borders! Added to results.
  Coefficients: -41.696Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 62.5  
  Root: 65.528  
  --> Root in between the borders! Added to results.
  Coefficients: -51.9135Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 75  
  Root: 74.87  
  --> Root in between the borders! Added to results.
  Coefficients: -64.5026666666667Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 87.5  
  Root: 84.256  
  --> Root in between the borders! Added to results.
  Coefficients: -92Coefficients: 0.649873067309236Coefficients: -0.00573518788789946Coefficients: 8.4364572148071e-05
  [20210617_011524]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011524]: Solving cubic regression for row_means
  Coefficients: 0Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -5.70125925925926Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 12.5  
  Root: 9.866  
  --> Root in between the borders! Added to results.
  Coefficients: -14.126Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 25  
  Root: 24.413  
  --> Root in between the borders! Added to results.
  Coefficients: -21.378Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 37.5  
  Root: 36.177  
  --> Root in between the borders! Added to results.
  Coefficients: -31.7547777777778Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 50  
  Root: 51.091  
  --> Root in between the borders! Added to results.
  Coefficients: -43.9506666666667Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 62.5  
  Root: 65.785  
  --> Root in between the borders! Added to results.
  Coefficients: -53.632Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 75  
  Root: 75.683  
  --> Root in between the borders! Added to results.
  Coefficients: -61.6601481481482Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 87.5  
  Root: 82.966  
  --> Root in between the borders! Added to results.
  Coefficients: -83.9631111111111Coefficients: 0.586398180119032Coefficients: -0.00123897828816967Coefficients: 3.77130759809046e-05
  [20210617_011525]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011525]: ### Starting with regression calculations ###
  [20210617_011525]: Entered 'regression_type1'-Function
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011525]: # CpG-site: CpG#1
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.2789378843474, 21.5912617356792, 36.6165063028299, 52.7290217769942, 66.5324319584221, 75.7732681698526, 81.77215307537, 100)
  [20210617_011525]: Logging df_agg: CpG#1
  [20210617_011525]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011525]: c(0, 10.2789378843474, 21.5912617356792, 36.6165063028299, 52.7290217769942, 66.5324319584221, 75.7732681698526, 81.77215307537, 100)
  [20210617_011525]: Entered 'hyperbolic_regression'-Function
  [20210617_011525]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011525]: Entered 'cubic_regression'-Function
  [20210617_011525]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011525]: # CpG-site: CpG#2
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 10.9910200331058, 26.4347343794858, 35.5445484590422, 48.1023951945168, 67.0857465067419, 75.4194602180407, 83.7851017057912, 100)
  [20210617_011525]: Logging df_agg: CpG#2
  [20210617_011525]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011525]: c(0, 10.9910200331058, 26.4347343794858, 35.5445484590422, 48.1023951945168, 67.0857465067419, 75.4194602180407, 83.7851017057912, 100)
  [20210617_011525]: Entered 'hyperbolic_regression'-Function
  [20210617_011525]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: Entered 'cubic_regression'-Function
  [20210617_011526]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: # CpG-site: CpG#3
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 9.38673403843448, 24.3726555634934, 36.1351254628939, 51.2904836899949, 65.5610871406365, 77.6829316655924, 80.3481111480894, 100)
  [20210617_011526]: Logging df_agg: CpG#3
  [20210617_011526]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011526]: c(0, 9.38673403843448, 24.3726555634934, 36.1351254628939, 51.2904836899949, 65.5610871406365, 77.6829316655924, 80.3481111480894, 100)
  [20210617_011526]: Entered 'hyperbolic_regression'-Function
  [20210617_011526]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: Entered 'cubic_regression'-Function
  [20210617_011527]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: # CpG-site: CpG#4
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 11.3332219957319, 22.932702580086, 37.5415761394279, 48.7723103718856, 68.3238144930215, 74.6144361613287, 82.8156863676676, 100)
  [20210617_011527]: Logging df_agg: CpG#4
  [20210617_011527]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011527]: c(0, 11.3332219957319, 22.932702580086, 37.5415761394279, 48.7723103718856, 68.3238144930215, 74.6144361613287, 82.8156863676676, 100)
  [20210617_011527]: Entered 'hyperbolic_regression'-Function
  [20210617_011527]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: Entered 'cubic_regression'-Function
  [20210617_011527]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: # CpG-site: CpG#5
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 9.59307352472009, 24.7039196286167, 38.0513608286781, 51.1867356506794, 62.2686203785399, 75.7858670101849, 85.4752679494875, 100)
  [20210617_011527]: Logging df_agg: CpG#5
  [20210617_011527]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011527]: c(0, 9.59307352472009, 24.7039196286167, 38.0513608286781, 51.1867356506794, 62.2686203785399, 75.7858670101849, 85.4752679494875, 100)
  [20210617_011527]: Entered 'hyperbolic_regression'-Function
  [20210617_011527]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011528]: Entered 'cubic_regression'-Function
  [20210617_011528]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011525]: # CpG-site: CpG#6
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 11.4954220530926, 26.3463219064414, 35.3317252573924, 50.227923198103, 65.0547254327623, 73.6409323113027, 86.9034526462823, 100)
  [20210617_011525]: Logging df_agg: CpG#6
  [20210617_011525]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011525]: c(0, 11.4954220530926, 26.3463219064414, 35.3317252573924, 50.227923198103, 65.0547254327623, 73.6409323113027, 86.9034526462823, 100)
  [20210617_011525]: Entered 'hyperbolic_regression'-Function
  [20210617_011525]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: Entered 'cubic_regression'-Function
  [20210617_011526]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: # CpG-site: CpG#7
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 8.10849041002034, 21.2877665626765, 36.1731139695058, 54.2470474469619, 67.0869477642489, 76.3774195641086, 79.7282732305279, 100)
  [20210617_011526]: Logging df_agg: CpG#7
  [20210617_011526]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011526]: c(0, 8.10849041002034, 21.2877665626765, 36.1731139695058, 54.2470474469619, 67.0869477642489, 76.3774195641086, 79.7282732305279, 100)
  [20210617_011526]: Entered 'hyperbolic_regression'-Function
  [20210617_011526]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: Entered 'cubic_regression'-Function
  [20210617_011526]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011526]: # CpG-site: CpG#8
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 8.03884800895131, 26.0790126077632, 34.864024643993, 52.3106102313996, 64.584480783278, 77.5764832006054, 80.3258937433556, 100)
  [20210617_011526]: Logging df_agg: CpG#8
  [20210617_011526]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011526]: c(0, 8.03884800895131, 26.0790126077632, 34.864024643993, 52.3106102313996, 64.584480783278, 77.5764832006054, 80.3258937433556, 100)
  [20210617_011526]: Entered 'hyperbolic_regression'-Function
  [20210617_011526]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: Entered 'cubic_regression'-Function
  [20210617_011527]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: # CpG-site: CpG#9
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 8.92983726842791, 24.4922814231369, 35.5300864832689, 52.348760289642, 65.5277236950653, 74.869707700493, 84.2557944146093, 100)
  [20210617_011527]: Logging df_agg: CpG#9
  [20210617_011527]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011527]: c(0, 8.92983726842791, 24.4922814231369, 35.5300864832689, 52.348760289642, 65.5277236950653, 74.869707700493, 84.2557944146093, 100)
  [20210617_011527]: Entered 'hyperbolic_regression'-Function
  [20210617_011527]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011527]: Entered 'cubic_regression'-Function
  [20210617_011527]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011528]: # CpG-site: row_means
  c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)c(0, 9.86641397663336, 24.4129321171961, 36.1766819844577, 51.09059907333, 65.7845651788235, 75.6825697981982, 82.9660082109242, 100)
  [20210617_011528]: Logging df_agg: row_means
  [20210617_011528]: c(0, 12.5, 25, 37.5, 50, 62.5, 75, 87.5, 100)[20210617_011528]: c(0, 9.86641397663336, 24.4129321171961, 36.1766819844577, 51.09059907333, 65.7845651788235, 75.6825697981982, 82.9660082109242, 100)
  [20210617_011528]: Entered 'hyperbolic_regression'-Function
  [20210617_011528]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011528]: Entered 'cubic_regression'-Function
  [20210617_011528]: 'cubic_regression': minmax = TRUE --> WARNING: this is experimental
  [20210617_011530]: Entered 'solving_equations'-Function
  [20210617_011530]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: 78.98568955427
  [20210617_011530]: Samplename: Sample#1  
  Root: 78.986  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 31.2695318944485
  [20210617_011530]: Samplename: Sample#10  
  Root: 31.27  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.7015783473806
  [20210617_011530]: Samplename: Sample#2  
  Root: 42.702  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 57.8152128991584
  [20210617_011530]: Samplename: Sample#3  
  Root: 57.815  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.2334361119884
  [20210617_011530]: Samplename: Sample#4  
  Root: 11.233  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 23.5293831805569
  [20210617_011530]: Samplename: Sample#5  
  Root: 23.529  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.7706743905274
  [20210617_011530]: Samplename: Sample#6  
  Root: 24.771  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 46.3953426324711
  [20210617_011530]: Samplename: Sample#7  
  Root: 46.395  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.4507144278303
  [20210617_011530]: Samplename: Sample#8  
  Root: 84.451  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -1.41337106216768
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -1.413  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving cubic regression for CpG#2
  Coefficients: -59.7333333333333Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#1  
  Root: 76.346  
  --> Root in between the borders! Added to results.
  Coefficients: -19.048Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#10  
  Root: 31.371  
  --> Root in between the borders! Added to results.
  Coefficients: -27.8783333333333Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#2  
  Root: 43.142  
  --> Root in between the borders! Added to results.
  Coefficients: -41.795Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#3  
  Root: 59.121  
  --> Root in between the borders! Added to results.
  Coefficients: -2.21Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#4  
  Root: 4.128  
  --> Root in between the borders! Added to results.
  Coefficients: -11.665Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#5  
  Root: 20.292  
  --> Root in between the borders! Added to results.
  Coefficients: -10.08Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#6  
  Root: 17.745  
  --> Root in between the borders! Added to results.
  Coefficients: -26.488Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#7  
  Root: 41.383  
  --> Root in between the borders! Added to results.
  Coefficients: -70.532Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#8  
  Root: 85.378  
  --> Root in between the borders! Added to results.
  Coefficients: -1.13Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: Sample#9  
  Root: 2.127  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 74.5474015466217
  [20210617_011530]: Samplename: Sample#1  
  Root: 74.547  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.357900365783
  [20210617_011530]: Samplename: Sample#10  
  Root: 28.358  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.6085497640161
  [20210617_011530]: Samplename: Sample#2  
  Root: 42.609  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 56.328611576536
  [20210617_011530]: Samplename: Sample#3  
  Root: 56.329  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 7.99034444437812
  [20210617_011530]: Samplename: Sample#4  
  Root: 7.99  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.7023144553186
  [20210617_011530]: Samplename: Sample#5  
  Root: 24.702  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.8868799754876
  [20210617_011530]: Samplename: Sample#6  
  Root: 26.887  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 44.8318235048304
  [20210617_011530]: Samplename: Sample#7  
  Root: 44.832  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.6737872092298
  [20210617_011530]: Samplename: Sample#8  
  Root: 84.674  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -1.2620073316742
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -1.262  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: 75.8433680486275
  [20210617_011530]: Samplename: Sample#1  
  Root: 75.843  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.0603249119682
  [20210617_011530]: Samplename: Sample#10  
  Root: 29.06  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 44.0355928319103
  [20210617_011530]: Samplename: Sample#2  
  Root: 44.036  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 58.7751115887875
  [20210617_011530]: Samplename: Sample#3  
  Root: 58.775  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.031915494767
  [20210617_011530]: Samplename: Sample#4  
  Root: 11.032  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 22.9948971798028
  [20210617_011530]: Samplename: Sample#5  
  Root: 22.995  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 27.9415139587436
  [20210617_011530]: Samplename: Sample#6  
  Root: 27.942  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.4874049628916
  [20210617_011530]: Samplename: Sample#7  
  Root: 42.487  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.6802730451523
  [20210617_011530]: Samplename: Sample#8  
  Root: 84.68  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 3.00887785920673
  [20210617_011530]: Samplename: Sample#9  
  Root: 3.009  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving cubic regression for CpG#5
  Coefficients: -47.8373333333333Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#1  
  Root: 72.291  
  --> Root in between the borders! Added to results.
  Coefficients: -13.588Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#10  
  Root: 27.212  
  --> Root in between the borders! Added to results.
  Coefficients: -25.3211428571429Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#2  
  Root: 44.85  
  --> Root in between the borders! Added to results.
  Coefficients: -32.064Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#3  
  Root: 53.741  
  --> Root in between the borders! Added to results.
  Coefficients: -4.074Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#4  
  Root: 9.444  
  --> Root in between the borders! Added to results.
  Coefficients: -11.434Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#5  
  Root: 23.55  
  --> Root in between the borders! Added to results.
  Coefficients: -13.294Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#6  
  Root: 26.722  
  --> Root in between the borders! Added to results.
  Coefficients: -24.288Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#7  
  Root: 43.42  
  --> Root in between the borders! Added to results.
  Coefficients: -63.134Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#8  
  Root: 88.215  
  --> Root in between the borders! Added to results.
  Coefficients: 0.0360000000000005Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.091  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 79.2200555483384
  [20210617_011530]: Samplename: Sample#1  
  Root: 79.22  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 30.2526528346542
  [20210617_011530]: Samplename: Sample#10  
  Root: 30.253  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 41.9196854289643
  [20210617_011530]: Samplename: Sample#2  
  Root: 41.92  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 56.8984354057995
  [20210617_011530]: Samplename: Sample#3  
  Root: 56.898  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.81576402979539
  [20210617_011530]: Samplename: Sample#4  
  Root: 8.816  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 18.6921622758993
  [20210617_011530]: Samplename: Sample#5  
  Root: 18.692  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.9815019038703
  [20210617_011530]: Samplename: Sample#6  
  Root: 29.982  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 42.8875178468034
  [20210617_011530]: Samplename: Sample#7  
  Root: 42.888  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 86.63037331622
  [20210617_011530]: Samplename: Sample#8  
  Root: 86.63  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 1.38997712932628
  [20210617_011530]: Samplename: Sample#9  
  Root: 1.39  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: 77.527833049175
  [20210617_011530]: Samplename: Sample#1  
  Root: 77.528  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 27.089539934682
  [20210617_011530]: Samplename: Sample#10  
  Root: 27.09  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 48.4382792773037
  [20210617_011530]: Samplename: Sample#2  
  Root: 48.438  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 58.8815969350863
  [20210617_011530]: Samplename: Sample#3  
  Root: 58.882  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 13.3295767308602
  [20210617_011530]: Samplename: Sample#4  
  Root: 13.33  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.9816194676693
  [20210617_011530]: Samplename: Sample#5  
  Root: 26.982  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 30.961215784227
  [20210617_011530]: Samplename: Sample#6  
  Root: 30.961  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 45.7456545702917
  [20210617_011530]: Samplename: Sample#7  
  Root: 45.746  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 84.6033537206698
  [20210617_011530]: Samplename: Sample#8  
  Root: 84.603  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -2.87380059069841
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -2.874  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving cubic regression for CpG#8
  Coefficients: -55.3573333333333Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#1  
  Root: 72.421  
  --> Root in between the borders! Added to results.
  Coefficients: -17.574Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#10  
  Root: 28.533  
  --> Root in between the borders! Added to results.
  Coefficients: -22.9425714285714Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#2  
  Root: 35.766  
  --> Root in between the borders! Added to results.
  Coefficients: -42.849Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#3  
  Root: 59.36  
  --> Root in between the borders! Added to results.
  Coefficients: -4.604Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#4  
  Root: 8.481  
  --> Root in between the borders! Added to results.
  Coefficients: -11.389Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#5  
  Root: 19.519  
  --> Root in between the borders! Added to results.
  Coefficients: -25.784Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#6  
  Root: 39.413  
  --> Root in between the borders! Added to results.
  Coefficients: -30.746Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#7  
  Root: 45.53  
  --> Root in between the borders! Added to results.
  Coefficients: -66.912Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#8  
  Root: 83.654  
  --> Root in between the borders! Added to results.
  Coefficients: 3.176Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -6.535  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving hyperbolic regression for CpG#9
  Hyperbolic solved: 80.5486411539833
  [20210617_011530]: Samplename: Sample#1  
  Root: 80.549  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 27.8104685932133
  [20210617_011530]: Samplename: Sample#10  
  Root: 27.81  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 46.2641650669793
  [20210617_011530]: Samplename: Sample#2  
  Root: 46.264  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 57.1903654781828
  [20210617_011530]: Samplename: Sample#3  
  Root: 57.19  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.63886344112901
  [20210617_011530]: Samplename: Sample#4  
  Root: 8.639  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 24.2162394860892
  [20210617_011530]: Samplename: Sample#5  
  Root: 24.216  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 39.6394431962286
  [20210617_011530]: Samplename: Sample#6  
  Root: 39.639  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 44.3080888377773
  [20210617_011530]: Samplename: Sample#7  
  Root: 44.308  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 87.3259099442422
  [20210617_011530]: Samplename: Sample#8  
  Root: 87.326  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -1.17959640390394
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -1.18  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 76.7568961442286
  [20210617_011530]: Samplename: Sample#1  
  Root: 76.757  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.8326630891413
  [20210617_011530]: Samplename: Sample#10  
  Root: 28.833  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 43.0145327368942
  [20210617_011530]: Samplename: Sample#2  
  Root: 43.015  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 57.6144798490352
  [20210617_011530]: Samplename: Sample#3  
  Root: 57.614  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 8.86517973371138
  [20210617_011530]: Samplename: Sample#4  
  Root: 8.865  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 22.1849817792562
  [20210617_011530]: Samplename: Sample#5  
  Root: 22.185  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 29.1973843528868
  [20210617_011530]: Samplename: Sample#6  
  Root: 29.197  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 43.9174258978368
  [20210617_011530]: Samplename: Sample#7  
  Root: 43.917  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 85.6607695956658
  [20210617_011530]: Samplename: Sample#8  
  Root: 85.661  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: -0.551158208327549
  [20210617_011530]: Samplename: Sample#9  
    
  ## WARNING ##
  No fitting root within the borders found.  
  Negative numeric root found:  
  Root: -0.551  
  --> '-10 < root < 0' --> substitute 0
  [20210617_011530]: Entered 'solving_equations'-Function
  [20210617_011530]: Solving hyperbolic regression for CpG#1
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 14.138116020495
  [20210617_011530]: Samplename: 12.5  
  Root: 14.138  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.1241054472135
  [20210617_011530]: Samplename: 25  
  Root: 26.124  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 39.3567420237414
  [20210617_011530]: Samplename: 37.5  
  Root: 39.357  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.9273108919472
  [20210617_011530]: Samplename: 50  
  Root: 52.927  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4010630010453
  [20210617_011530]: Samplename: 62.5  
  Root: 65.401  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.4183185100385
  [20210617_011530]: Samplename: 75  
  Root: 74.418  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 80.5431521227805
  [20210617_011530]: Samplename: 87.5  
  Root: 80.543  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving cubic regression for CpG#2
  Coefficients: 0Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -6.05666666666666Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 12.5  
  Root: 10.991  
  --> Root in between the borders! Added to results.
  Coefficients: -15.656Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 25  
  Root: 26.435  
  --> Root in between the borders! Added to results.
  Coefficients: -22.054Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 37.5  
  Root: 35.545  
  --> Root in between the borders! Added to results.
  Coefficients: -31.945Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 50  
  Root: 48.102  
  --> Root in between the borders! Added to results.
  Coefficients: -49.68Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 62.5  
  Root: 67.086  
  --> Root in between the borders! Added to results.
  Coefficients: -58.6825Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 75  
  Root: 75.419  
  --> Root in between the borders! Added to results.
  Coefficients: -68.5533333333333Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 87.5  
  Root: 83.785  
  --> Root in between the borders! Added to results.
  Coefficients: -90.294Coefficients: 0.526816753036988Coefficients: 0.00201323875068832Coefficients: 1.7479937189418e-05
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#3
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 10.8497990974132
  [20210617_011530]: Samplename: 12.5  
  Root: 10.85  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.1511184372613
  [20210617_011530]: Samplename: 25  
  Root: 26.151  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.2940214316679
  [20210617_011530]: Samplename: 37.5  
  Root: 37.294  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.4193612450502
  [20210617_011530]: Samplename: 50  
  Root: 51.419  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.0212051861882
  [20210617_011530]: Samplename: 62.5  
  Root: 65.021  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 76.9977790338101
  [20210617_011530]: Samplename: 75  
  Root: 76.998  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 79.68603624746
  [20210617_011530]: Samplename: 87.5  
  Root: 79.686  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#4
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 13.2434477892553
  [20210617_011530]: Samplename: 12.5  
  Root: 13.243  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.0815867823196
  [20210617_011530]: Samplename: 25  
  Root: 25.082  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 38.7956859385245
  [20210617_011530]: Samplename: 37.5  
  Root: 38.796  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 49.1001600403071
  [20210617_011530]: Samplename: 50  
  Root: 49.1  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 67.5620415396525
  [20210617_011530]: Samplename: 62.5  
  Root: 67.562  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.7554076204335
  [20210617_011530]: Samplename: 75  
  Root: 73.755  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.0327440961902
  [20210617_011530]: Samplename: 87.5  
  Root: 82.033  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving cubic regression for CpG#5
  Coefficients: 0Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -4.144Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 12.5  
  Root: 9.593  
  --> Root in between the borders! Added to results.
  Coefficients: -12.102Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 25  
  Root: 24.704  
  --> Root in between the borders! Added to results.
  Coefficients: -20.536Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 37.5  
  Root: 38.051  
  --> Root in between the borders! Added to results.
  Coefficients: -30.0715Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 50  
  Root: 51.187  
  --> Root in between the borders! Added to results.
  Coefficients: -39.034Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 62.5  
  Root: 62.269  
  --> Root in between the borders! Added to results.
  Coefficients: -51.059Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 75  
  Root: 75.786  
  --> Root in between the borders! Added to results.
  Coefficients: -60.3906666666667Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 87.5  
  Root: 85.475  
  --> Root in between the borders! Added to results.
  Coefficients: -75.446Coefficients: 0.394384751236424Coefficients: 0.00395257736579547Coefficients: -3.51824878159708e-06
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#6
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.8226877294042
  [20210617_011530]: Samplename: 12.5  
  Root: 11.823  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.5494368740523
  [20210617_011530]: Samplename: 25  
  Root: 26.549  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 35.384678764038
  [20210617_011530]: Samplename: 37.5  
  Root: 35.385  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 50.1264563292089
  [20210617_011530]: Samplename: 50  
  Root: 50.126  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.9875101829527
  [20210617_011530]: Samplename: 62.5  
  Root: 64.988  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 73.6494948208368
  [20210617_011530]: Samplename: 75  
  Root: 73.649  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 87.0033714640681
  [20210617_011530]: Samplename: 87.5  
  Root: 87.003  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#7
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.7925452975974
  [20210617_011530]: Samplename: 12.5  
  Root: 11.793  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 26.2042825524252
  [20210617_011530]: Samplename: 25  
  Root: 26.204  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 39.2081607340003
  [20210617_011530]: Samplename: 37.5  
  Root: 39.208  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 54.3620764209656
  [20210617_011530]: Samplename: 50  
  Root: 54.362  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 66.0664880421958
  [20210617_011530]: Samplename: 62.5  
  Root: 66.066  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.1981505659702
  [20210617_011530]: Samplename: 75  
  Root: 75.198  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 78.6124356198202
  [20210617_011530]: Samplename: 87.5  
  Root: 78.612  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving cubic regression for CpG#8
  Coefficients: 0Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Coefficients: -4.35066666666667Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 12.5  
  Root: 8.039  
  --> Root in between the borders! Added to results.
  Coefficients: -15.834Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 25  
  Root: 26.079  
  --> Root in between the borders! Added to results.
  Coefficients: -22.254Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 37.5  
  Root: 34.864  
  --> Root in between the borders! Added to results.
  Coefficients: -36.529Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 50  
  Root: 52.311  
  --> Root in between the borders! Added to results.
  Coefficients: -47.73Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 62.5  
  Root: 64.584  
  --> Root in between the borders! Added to results.
  Coefficients: -60.5715Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 75  
  Root: 77.576  
  --> Root in between the borders! Added to results.
  Coefficients: -63.414Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 87.5  
  Root: 80.326  
  --> Root in between the borders! Added to results.
  Coefficients: -84.964Coefficients: 0.510961757786553Coefficients: 0.00379498063775741Coefficients: -4.08198215622936e-06
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for CpG#9
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 12.2094907186795
  [20210617_011530]: Samplename: 12.5  
  Root: 12.209  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 28.0738987271414
  [20210617_011530]: Samplename: 25  
  Root: 28.074  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.6720255886341
  [20210617_011530]: Samplename: 37.5  
  Root: 37.672  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 52.3746310250655
  [20210617_011530]: Samplename: 50  
  Root: 52.375  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 64.8693633105953
  [20210617_011530]: Samplename: 62.5  
  Root: 64.869  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 74.259890365911
  [20210617_011530]: Samplename: 75  
  Root: 74.26  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 83.9376844794149
  [20210617_011530]: Samplename: 87.5  
  Root: 83.938  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011530]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  [20210617_011530]: Solving hyperbolic regression for row_means
  Hyperbolic solved: 0
  [20210617_011530]: Samplename: 0  
  Root: 0  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 11.1506883029322
  [20210617_011530]: Samplename: 12.5  
  Root: 11.151  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 25.8416364087808
  [20210617_011530]: Samplename: 25  
  Root: 25.842  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 37.0462679836135
  [20210617_011530]: Samplename: 37.5  
  Root: 37.046  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 51.1681298116344
  [20210617_011530]: Samplename: 50  
  Root: 51.168  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 65.4258218208993
  [20210617_011530]: Samplename: 62.5  
  Root: 65.426  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 75.2856328151292
  [20210617_011530]: Samplename: 75  
  Root: 75.286  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 82.6475419524492
  [20210617_011531]: Samplename: 87.5  
  Root: 82.648  
  --> Root in between the borders! Added to results.
  Hyperbolic solved: 100
  [20210617_011531]: Samplename: 100  
  Root: 100  
  --> Root in between the borders! Added to results.
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
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    singular gradient
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    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
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    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
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    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  [20210617_011636]: Entered 'clean_dt'-Function
  [20210617_011636]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011636]: got experimental data
  [20210617_011636]: Entered 'clean_dt'-Function
  [20210617_011636]: Importing data of type 2: Many loci in one sample (e.g., next-gen seq or microarray data)
  [20210617_011636]: got experimental data
  [20210617_011637]: Entered 'clean_dt'-Function
  [20210617_011637]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011637]: got calibration data
  [20210617_011637]: Entered 'clean_dt'-Function
  [20210617_011637]: Importing data of type 1: One locus in many samples (e.g., pyrosequencing data)
  [20210617_011637]: got calibration data
  [20210617_011637]: Entered 'hyperbolic_regression'-Function
  [20210617_011637]: 'hyperbolic_regression': minmax = TRUE --> WARNING: this is experimental
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    step factor 0.000488281 reduced below 'minFactor' of 0.000976562
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  Error in (function (formula, data = parent.frame(), start, control = nls.control(),  : 
    singular gradient
  ══ Skipped tests ═══════════════════════════════════════════════════════════════
  • On CRAN (9)
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure (test-plotting.R:236:5): create_exampleplot ─────────────────────────
  `virtual_list` is not NULL
  
  `actual` is a character vector ('/home/hornik/tmp/scratch/Rtmp56Br0j/plotdir//exampleplot.png')
  `expected` is NULL
  
  [ FAIL 1 | WARN 31 | SKIP 9 | PASS 50 ]
  Error: Test failures
  Execution halted