testlist <- list(DataPoint = c(-5.77676069926173e-88, -1.40172931765374e+42,  7.97775367201162e+286, -2.9102954401935e-66, 5.21235757383485e+149,  Inf, -3.26826511387117e-09, 1.204696203313e+105, 1.92237994251992e-292,  2.30037754081632e+185, -2.26422127271211e-207, -1.93878165531446e-270,  -1.58184982759317e-75, 5.98465548672191e+200, -6.98099150108981e-184,  -4.12898685295833e-154, -1.14614563522491e-200, 2.57324121125542e-135,  -1.32110364089013e-124, 8.7544977861778e+69, 4.41892771708161e+108,  1.03547250454059e+129, 1.5657644042496e+220, 4.7288711812049e-239,  -2.77351792168219e-162, -4.54685528978098e+47, -4.76854322082271e-241,  2.25890820133551e-94, -1.06920632964527e-84, -2.77991681680723e-68,  1.63474048532297e+199, -Inf, -7.83038213232038e-237, -3.71224769988964e+84,  -1001669319.11558, 4.42155373415979e+58, -2.38982963319743e+50,  -8.65608569217435e+189, -6.91056642180637e-151, -1.1270108516931e-303,  -9.38020178320917e-303, -1.084802426075e+26, 5.28370943883488e+273,  -1.24814088778913e+253, NA, 3.2683556811194e-125, 7.26735267506538e-232,  5.39262755220023e-75, 0), DistancesToBm = c(1.66890206425331e-37,  1.57361638787239e+123, -4.71230687563731e-155, 2.85426324534985e+155,  9.21149522098152e-207, -5.19591354597342e+31, -5.78615855366758e-127,  -3.48960625477374e+186, -3.925238981157e-88, -2.8580265187689e-295,  -3.00621401365694e-230, 1.48662479107608e+169, 7.23206449392466e+129,  6.40669146891282e+300, 5.24699294468246e+234, -5.9701913079231e-232,  -7.31145552946785e-305, 2.32442617091324e+130, -5.74308992545948e-99,  2.78818077223973e+131, NA, 2.33033907331135e+228, -3.43953569819794e-227,  5.37459628523686e+194, 1.92948519486115e+237, 3.53139073545097e-193,  -1.07334970027711e+44, 8.25372847500354e-63, 1.27325722906078e+70,  5.53467480032938e+37, -3.7829939036579e-21, -5.92749413875691e+265,  0.0341869093260508, -Inf, 2.69205171032884e-44, -1.57813072074424e-244,  31239.3221970393, 1.99528815718208e+38, 1.11016166129427e+88,  13819.1581321166, 1.639938106797e-128, 7.82139676590605e+285,  -4.59837056400752e-161, -2.11139870220819e-150, -1.27437801656646e+297,  1.57285898087212e-265, 2.11756408612756e-122, 6.94544188343773e+280,  2.74895260804884e-136, 1.24427849516736e-207, -9.57383400701054e-139,  -2.46274199165413e+284, 4.36738098998494e-160, 2.11739721226581e-277,  -4828598.73667153, -1.44067920589654e-197, -4.57404855424143e-11,  2.39794429214005e-21, -Inf, 6.39472789730202e-186, -2.86466335810979e-266,  -1.77924008945204e+147, 2.45282382022396e+272, -8.40261479749498e-21,  3.60691261754458e+294, -2.48880901127907e-106, 1.20378557962235e+86,  -9.1047997338987e-145, -7.41221532776485e+254, -3.05751075215695e-235,  -9.68982490776066e+243, -6.94538274037582e-210, 7.80739673148119e+305,  6.78400848986425e+95, 4.20781048178549e+61, 1.81489082905146e+85,  -25857.4274174146, -Inf, 1.28587057799499e+45, -1.28900825752659e-263,  1.22207396865277e-64, 1.81311161166221e-177, -5.54732101148474e+272,  1.82377671447838e+234, -1.43234948001472e+150, -2.37649247830129e+146,  -2.9717830215775e-41, 4.08711744216765e+168, NA, 0), indices = c(-1.04344889207493e-25,  7.47127056178608e-122, -1.09823721904688e+308, 4.20075092727586e-124,  8298643760299011072, 4.79041654246956e-94, -3.11526132359583e+68,  2.95622988552441e-161, 3.21298987419757e-284, -8.50471769934462e+39,  -Inf, -2.82513146507186e-22, 6.81760967605104e-244, -7.16240258284724e-237,  -489831968972075200, -9.09379611233137e-80, -6.62190355742252e-231,  1.55772774200754e+91, -5.34588011086573e-48, 7.12936254860706e-227,  NaN, 1.46740810784506e-282, -7.80677366065224e+201, Inf, -4.88049888537564e-217,  2.12839361740127e+73, Inf, 8.73404382930919e-244, -81608024315.6781,  4.1757917072208e-162, Inf, 1.87251765107066e-186, -1.72852545043082e+48,  1.4009657999098e+303, -1.08309116119794e+271, 4.35345442243322e+66,  9.38730501603321e-48, -1.2647429114527e-141, 8.75808820983245e+258,  -9.01732822583544e-83, 1.48355490721965e-178, 6.05627927319758e-148,  -4.52383236039907e+166, -5.20596767586082e+235, 1.90242086684282e+302,  -5.68479577089906e-26, 0), LearningRate = -2.73969487812573e-131,      Radius = 1.08048900864822e-293, WeightVectors = structure(c(113591.317636662,      2.02440246293999e-120, 2.99073719586954e+126, 6.50711360248635e+255,      2.77992940465186e-145, 5.05236805568156e-152, 9.12479777672778e+279,      1.98407051713473e-301, 1.43503685969473e-187, 3.70266902577787e-124,      6.68297022955214e+278, 3.56510371418303e-187, 1.54110274722904e+94,      3.31571131879129e-183, 7334667215992034304, 2.8942000268451e-304,      6.90303016471641e+190, 9.1283484075948e+237, 3.39073449614752e-161,      3.08024133898925e-121, 1.09990107590195e-167, 2115765394.78157,      5.98087731991107e+84, 7.61716311393905e-244, 3.70697295852749e+129,      3.9554809482948e+230, 1751.00658939708, 1.42007622195341e-95,      1.78634040514236e+215, 43550731529800416, 1.41722927958267e-220,      3.47046153025567e-197, 8.57494957901872e-181, 1.20634074945973e+250,      1.08932048249222e-176, 2.86260901830576e+68, 6.46731182185863e+238,      2.4803870720442e-82, 3.72710095036814e+66, 4.63635997440872e+117     ), .Dim = c(10L, 4L)))
result <- do.call(Umatrix:::esomTrainedWeightVectorsGaussC,testlist)
str(result)