dmp.txt <- structure(
	.Data = list(
		"coefficients" = list(
			"fixed" = c("tvV" = 32.8793657064095, "tvCl" = 5.07182382815615, "CEps" = 0.737443051017447)
			, "secondary" = c("Ke" = 0.154255525287322)
			, "random" = list("Subject" = matrix(
				as.numeric(c(
					-0.0587490219402716, 0.0574863245288927, 0.0379632845791695
					, 0.0371222980570223, 0.0111144203942525, -0.00837972881527984
					, 0.0395715936757355, -0.0687697559691809, 0.0372138222153527
					, -0.0659834904952047, 0.0133430022144274, -0.126953385562437
					, 0.0132474367440029, 0.0600771483239964, 0.00823722191637643
					, -0.037553904964027, 0.102075824424105, 0.247877215687646
					, 0.058515787273561, 0.220822180540825, 0.0982167918071147
					, 0.272160574748009, 0.0692427474527489, -0.209474720689363
					, 0.206980475992366, -0.315184487536238, 0.102967083142936
					, -0.464420921307312, 0.159716658690669, 0.0141135443335151
					, -0.130880662527339, -0.349865391876476
					))
				, nrow = 16, ncol = 2
				, dimnames = list(
					as.character(c( "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"
					  , "11", "12", "13", "14", "15", "16"))
					, as.character(c("nV", "nCl"))
					)
				))
			)
		, "logLik" = c(-779.739)
		, "nObs" = c(112)
		, "nSubj" = c(16)
		, "nParm" = c(5)
		, "returnCode" = c(2)
		, "omega" = matrix(
			as.numeric(c(0.0164932866306025, 0, 0, 0.0758285917162589))
			, nrow = 2, ncol = 2
			, dimnames = list(
				as.character(c("nV", "nCl"))
				, as.character(c("nV", "nCl"))
				)
			)
		, "eta" = matrix(
			as.numeric(c(-0.0031882959435733, 0.00517891875979793, 0.00269990570418316, 0.0493579655835142, 0.0519606168572233, 0.222166526694536, 0.595404829017587, 0.193206983747843))
			, nrow = 2, ncol = 4
			, dimnames = list(
				as.character(c("nV", "nCl"))
				, as.character(c("mean", "var", "sd", "shrinkage"))
				)
			)
		, "eta_shrinkage" = list("Subject" = matrix(
			as.numeric(c(
				0.824796083530474, 0.820745029686504, 0.834442725759002
				, 0.822105109823368, 0.828550263752027, 0.813749094364066
				, 0.834343078189528, 0.845051645716812, 0.822247050331906
				, 0.852412888585357, 0.829666246842671, 0.858214805018799
				, 0.824863154425859, 0.839487341350498, 0.844612720841226
				, 0.855309428143958, 0.294996691403252, 0.284230017837335
				, 0.338731348828201, 0.288278327123512, 0.31661321932456
				, 0.262125078621715, 0.334516396341182, 0.398993847123522
				, 0.292647859071581, 0.445224753635508, 0.317011127429221
				, 0.484589665045598, 0.298350415370074, 0.361931477078856
				, 0.395866209275843, 0.469550543246533
				))
			, nrow = 16, ncol = 2
			, dimnames = list(
				as.character(c( "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"
				  , "11", "12", "13", "14", "15", "16"))
				, as.character(c("nV_shrinkage", "nCl_shrinkage"))
				)
			))
		, "sigma" = matrix(
			as.numeric(c(0.543822253493921))
			, nrow = 1, ncol = 1
			, dimnames = list(
				as.character(c("CEps"))
				, as.character(c("CEps"))
				)
			)
		, "method" = "FOCE-ELS"
		, "stderrSecondary" = c(0.0126245800641777)
		, "varFix" = matrix(
			as.numeric(c(7.56179452937981, 0.820683790850025, 0.123509980952748, 0.820683790850025, 0.245557083893122, 0.0186484342962138, 0.123509980952748, 0.0186484342962138, 0.00573516984280766))
			, nrow = 3, ncol = 3
			, dimnames = list(
				as.character(c("tvV", "tvCl", "CEps"))
				, as.character(c("tvV", "tvCl", "CEps"))
				)
			)
		, "omegaSE" = matrix(
			as.numeric(c(0.0136870642039085, 0, 0, 0.032884953313822))
			, nrow = 2, ncol = 2, byrow = TRUE
			, dimnames = list(
				as.character(c("nV", "nCl"))
				, as.character(c("nV", "nCl"))
				)
			)
		, "Covariance" = matrix(
			as.numeric(c(7.5617945, 0.82068379, 0.12350998, 0.0076441096,         0, 0.015211694, 0.82068379, 0.24555708, 0.018648434, 0.0008283198,         0, 0.0016249046, 0.12350998, 0.018648434, 0.0057351698, -1.7390578e-005,         0, 8.1835507e-005, 0.0076441096, 0.0008283198, -1.7390578e-005, 0.00018733573,         0, 0.00014154995,         0,         0,         0,         0,         0,         0, 0.015211694, 0.0016249046, 8.1835507e-005, 0.00014154995,         0, 0.0010814202))
			, nrow = 6, ncol = 6
			, dimnames = list(
				as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				, as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				)
			)
		, "Correlation" = matrix(
			as.numeric(c(2.7498717, 0.60226439, 0.59308437, 0.20309731,         0, 0.16821624, 0.60226439, 0.49553717, 0.49692746, 0.12212695,         0, 0.099713602, 0.59308437, 0.49692746, 0.075730904, -0.016777628,         0, 0.032860291, 0.20309731, 0.12212695, -0.016777628, 0.013687064,         0, 0.31448662,         0,         0,         0,         0,         0,         0, 0.16821624, 0.099713602, 0.032860291, 0.31448662,         0, 0.032884953))
			, nrow = 6, ncol = 6
			, dimnames = list(
				as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				, as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				)
			)
		, "Inverse" = matrix(
			as.numeric(c(0.26892818, -0.56093201, -3.9672648, -7.6205884,         0, -1.6423175, -0.56093201, 6.7178005, -9.7786699, -7.3428984,         0, -0.50251464, -3.9672648, -9.7786699, 291.96941, 217.12283,         0, 19.983938, -7.6205884, -7.3428984, 217.12283, 6242.0157,         0, -715.23707,         0,         0,         0,         0,         0,         0, -1.6423175, -0.50251464, 19.983938, -715.23707,         0, 1040.6735))
			, nrow = 6, ncol = 6
			, dimnames = list(
				as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				, as.character(c("tvV", "tvCl", "CEps", "nV-nV", "nCl-nV", "nCl-nCl"))
				)
			)
		, "LLTable" = data.frame(
			id = as.character(c( "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16"))
			, "LL" = c(-48.496103, -45.643411, -46.972426, -45.885628, -47.021056, -46.625029, -47.239733, -52.252758, -46.000655, -53.013485, -46.883802, -58.025303, -46.724018, -46.92624, -49.27221, -52.756753)
			) # end of LLTable
		, "residuals" = data.frame(
			  ID1 = as.character(c(  "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   ""))
			, ID2 = as.character(c(  "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   ""))
			, ID3 = as.character(c(  "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   ""))
			, ID4 = as.character(c(  "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   "",   ""))
			, ID5 = as.character(c( "1",  "1",  "1",  "1",  "1",  "1",  "1",  "2",  "2",  "2",  "2",  "2",  "2",  "2",  "3",  "3",  "3",  "3",  "3",  "3",  "3",  "4",  "4",  "4",  "4",  "4",  "4",  "4",  "5",  "5",  "5",  "5",  "5",  "5",  "5",  "6",  "6",  "6",  "6",  "6",  "6",  "6",  "7",  "7",  "7",  "7",  "7",  "7",  "7",  "8",  "8",  "8",  "8",  "8",  "8",  "8",  "9",  "9",  "9",  "9",  "9",  "9",  "9", "10", "10", "10", "10", "10", "10", "10", "11", "11", "11", "11", "11", "11", "11", "12", "12", "12", "12", "12", "12", "12", "13", "13", "13", "13", "13", "13", "13", "14", "14", "14", "14", "14", "14", "14", "15", "15", "15", "15", "15", "15", "15", "16", "16", "16", "16", "16", "16", "16"))
			, IVAR = c(0, 0.26, 1.1, 2.1, 4.13, 8.17, 23.78, 0, 0.37, 0.83, 2.1, 4.12, 8.11, 24.08, 0, 0.39, 1.08, 2.02, 4.16, 7.9, 23.95, 0, 0.47, 1.02, 2.07, 3.78, 8.12, 23.9, 0, 0.35, 0.95, 1.92, 4.03, 8.11, 23.94, 0, 0.44, 0.83, 1.92, 4.01, 8.03, 24.05, 0, 0.65, 1.13, 2.03, 3.95, 8.05, 24, 0, 0.44, 1.02, 1.9, 3.87, 8.05, 23.99, 0, 0.45, 0.91, 1.93, 3.85, 8.02, 23.92, 0, 0.33, 0.92, 2.08, 3.95, 7.94, 23.96, 0, 0.42, 1.08, 1.97, 3.98, 8.12, 23.81, 0, 0.63, 1, 1.85, 3.88, 7.91, 23.98, 0, 0.59, 1.02, 1.96, 4.03, 7.88, 24, 0, 0.55, 1.09, 1.98, 3.98, 8.05, 23.97, 0, 0.6, 1.09, 1.98, 3.78, 7.87, 24.22, 0, 0.47, 0.85, 1.95, 3.91, 7.98, 24.19)
			, TAD = c(0, 0.26, 1.1, 2.1, 4.13, 8.17, 23.78, 0, 0.37, 0.83, 2.1, 4.12, 8.11, 24.08, 0, 0.39, 1.08, 2.02, 4.16, 7.9, 23.95, 0, 0.47, 1.02, 2.07, 3.78, 8.12, 23.9, 0, 0.35, 0.95, 1.92, 4.03, 8.11, 23.94, 0, 0.44, 0.83, 1.92, 4.01, 8.03, 24.05, 0, 0.65, 1.13, 2.03, 3.95, 8.05, 24, 0, 0.44, 1.02, 1.9, 3.87, 8.05, 23.99, 0, 0.45, 0.91, 1.93, 3.85, 8.02, 23.92, 0, 0.33, 0.92, 2.08, 3.95, 7.94, 23.96, 0, 0.42, 1.08, 1.97, 3.98, 8.12, 23.81, 0, 0.63, 1, 1.85, 3.88, 7.91, 23.98, 0, 0.59, 1.02, 1.96, 4.03, 7.88, 24, 0, 0.55, 1.09, 1.98, 3.98, 8.05, 23.97, 0, 0.6, 1.09, 1.98, 3.78, 7.87, 24.22, 0, 0.47, 0.85, 1.95, 3.91, 7.98, 24.19)
			, PRED = c(  760.355,   730.464,    641.69,   549.962,   402.104,    215.62,   19.4061,   760.355,   718.174,    668.98,   549.962,   402.725,   217.625,   18.5285,   760.355,   715.961,   643.672,   556.791,   400.247,    224.79,   18.9039,   760.355,    707.18,   649.657,   552.513,    424.41,    217.29,   19.0502,   760.355,   720.393,    656.71,   565.446,   408.355,   217.625,    18.933,   760.355,   710.461,    668.98,   565.446,   409.616,   220.327,   18.6145,   760.355,   687.815,   638.727,   555.933,   413.425,   219.649,   18.7586,   760.355,   710.461,   649.657,   567.193,   418.559,   219.649,   18.7876,   760.355,   709.365,   660.775,   564.575,   419.852,   220.667,   18.9915,   760.355,   722.619,   659.756,   551.661,   413.425,   223.407,   18.8747,   760.355,   712.656,   643.672,   561.102,   411.516,    217.29,   19.3165,   760.355,    689.94,   651.665,   571.585,   417.913,   224.444,   18.8166,   760.355,    694.21,   649.657,   561.968,   408.355,   225.485,   18.7586,   760.355,   698.507,    642.68,   560.237,   411.516,   219.649,   18.8456,   760.355,    693.14,    642.68,   560.237,    424.41,   225.833,   18.1327,   760.355,    707.18,   666.919,   562.836,   415.984,   222.033,   18.2168)
			, IPRED = c(  806.364,   769.261,   660.666,   551.189,   381.573,    183.53,   10.8516,   717.878,   669.985,   614.873,   485.134,    332.78,   158.052,   8.02706,   732.031,    688.43,   617.554,   532.592,   380.237,   211.009,   16.8557,   732.647,    671.52,   606.433,   499.179,   363.579,   162.638,    8.7278,   751.951,   708.938,   640.848,   544.325,   381.628,    192.06,   13.3793,   766.754,   700.863,    647.21,   518.055,    338.08,   148.763,   5.64576,   730.854,   659.135,   610.731,   529.347,   390.159,   203.377,   16.1285,   814.485,   767.848,   710.427,     631.4,   484.899,   276.936,   32.7101,    732.58,    674.73,   620.314,   514.797,    362.42,   169.108,   9.24482,   812.218,   780.624,   727.168,   632.506,   505.152,   312.668,   45.5609,   750.277,   698.951,   625.297,   538.112,   383.347,   190.651,   13.5075,    863.28,   805.444,   773.299,    704.23,   563.212,   361.428,   61.6326,   750.349,    675.31,   625.392,   528.745,   365.341,   183.693,   10.3236,    716.02,    660.29,   609.795,   534.859,   398.358,   218.708,   20.9535,   754.118,   695.768,    651.48,   578.125,   454.042,   262.231,   29.2155,   789.453,   748.662,   717.228,   633.481,   507.751,   320.724,    51.462)
			, DV = c(2010, 1330, 565, 216, 180, 120, 16.9, 850, 795, 363, 251, 108, 61.9, 11.6, 1460, 793, 424, 273, 189, 118, 26.8, 1190, 787, 470, 209, 135, 82.1, 12.8, 1440, 1160, 475, 222, 175, 128, 20.7, 1550, 851, 507, 179, 76.2, 63.2, 8.09, 1510, 554, 322, 275, 186, 91.3, 25.6, 2540, 916, 680, 394, 222, 180, 59.5, 1260, 699, 511, 213, 201, 66.8, 13.6, 2420, 1380, 585, 402, 353, 230, 87.7, 1280, 1200, 677, 285, 158, 73.1, 20.8, 3190, 596, 701, 534, 218, 235, 129, 1560, 702, 561, 245, 157, 80.5, 15.6, 1360, 610, 433, 276, 230, 136, 34.1, 1870, 918, 478, 317, 242, 163, 51.1, 2290, 1190, 535, 333, 341, 273, 101)
			, IRES = c(  1203.64,   560.739,  -95.6657,  -335.189,  -201.573,  -63.5297,   6.04838,   132.122,   125.015,  -251.873,  -234.134,   -224.78,  -96.1517,   3.57294,   727.969,    104.57,  -193.554,  -259.592,  -191.237,  -93.0086,   9.94432,   457.353,    115.48,  -136.433,  -290.179,  -228.579,  -80.5376,    4.0722,   688.049,   451.062,  -165.848,  -322.325,  -206.628,  -64.0597,   7.32066,   783.246,   150.137,   -140.21,  -339.055,   -261.88,  -85.5633,   2.44424,   779.146,  -105.135,  -288.731,  -254.347,  -204.159,  -112.077,   9.47148,   1725.52,   148.152,  -30.4273,    -237.4,  -262.899,  -96.9355,   26.7899,    527.42,   24.2695,  -109.314,  -301.797,   -161.42,  -102.308,   4.35518,   1607.78,   599.376,  -142.168,  -230.506,  -152.152,  -82.6675,   42.1391,   529.723,   501.049,   51.7033,  -253.112,  -225.347,  -117.551,   7.29252,   2326.72,  -209.444,  -72.2994,   -170.23,  -345.212,  -126.428,   67.3674,   809.651,   26.6901,  -64.3922,  -283.745,  -208.341,  -103.193,   5.27639,    643.98,  -50.2902,  -176.795,  -258.859,  -168.358,  -82.7076,   13.1465,   1115.88,   222.232,   -173.48,  -261.125,  -212.042,  -99.2306,   21.8845,   1500.55,   441.338,  -182.228,  -300.481,  -166.751,   -47.724,    49.538)
			, PREDSE = c(        0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0)
			, Weight = c(1.53794e-006, 1.68987e-006, 2.29106e-006, 3.29154e-006, 6.86822e-006, 2.96884e-005, 0.00849202, 1.94043e-006, 2.22777e-006, 2.64502e-006, 4.24889e-006, 9.02996e-006, 4.00315e-005, 0.0155198, 1.86613e-006, 2.10999e-006, 2.6221e-006, 3.52542e-006, 6.91658e-006, 2.24595e-005, 0.00351972, 1.86299e-006, 2.2176e-006, 2.71916e-006, 4.01317e-006, 7.56491e-006, 3.78058e-005, 0.0131278, 1.76856e-006, 1.98968e-006, 2.43495e-006, 3.37507e-006, 6.86625e-006, 2.71099e-005, 0.00558639, 1.70094e-006, 2.03579e-006, 2.38731e-006, 3.72604e-006, 8.74906e-006, 4.51865e-005, 0.0313729, 1.87214e-006, 2.30171e-006, 2.68102e-006, 3.56877e-006, 6.56925e-006, 2.41767e-005, 0.00384424, 1.50742e-006, 1.69609e-006, 1.98135e-006, 2.50837e-006, 4.25301e-006, 1.3039e-005, 0.000934622, 1.86333e-006, 2.19654e-006, 2.59882e-006, 3.77335e-006, 7.61336e-006, 3.4968e-005, 0.0117005, 1.51584e-006, 1.64103e-006, 1.89117e-006, 2.4996e-006, 3.91882e-006, 1.0229e-005, 0.000481743, 1.77646e-006, 2.04695e-006, 2.55757e-006, 3.45346e-006, 6.8048e-006, 2.7512e-005, 0.00548089, 1.34183e-006, 1.54145e-006, 1.67226e-006, 2.01638e-006, 3.15251e-006, 7.6552e-006, 0.000263256, 1.77612e-006, 2.19277e-006, 2.55679e-006, 3.5769e-006, 7.49211e-006, 2.96356e-005, 0.00938289, 1.95051e-006, 2.29367e-006, 2.68925e-006, 3.4956e-006, 6.30162e-006, 2.09061e-005, 0.00227764, 1.75842e-006, 2.06572e-006, 2.35612e-006, 2.99197e-006, 4.85073e-006, 1.45423e-005, 0.00117158, 1.60453e-006, 1.78414e-006, 1.94395e-006, 2.49192e-006, 3.87881e-006, 9.72158e-006, 0.000377595)
			, IWRES = c(  2.02412,  0.988458, -0.196357, -0.824633, -0.716352, -0.469399,  0.755816,  0.249572,  0.253028, -0.555479, -0.654447,  -0.91595, -0.824953,  0.603588,   1.34851,  0.205977,  -0.42501,  -0.66095, -0.682007, -0.597716,  0.800019,  0.846504,  0.233196, -0.305076, -0.788281, -0.852528, -0.671505,  0.632698,    1.2408,  0.862778, -0.350935, -0.802985,  -0.73421, -0.452294,  0.741972,    1.3852,  0.290486, -0.293769, -0.887495,   -1.0504, -0.779943,  0.587072,   1.44564, -0.216294, -0.641084, -0.651566, -0.709576, -0.747284,  0.796333,   2.87281,   0.26164, -0.0580785, -0.509856, -0.735207, -0.474653,   1.11061,  0.976278, 0.0487756, -0.238967,  -0.79497, -0.603971, -0.820384,   0.63882,   2.68427,   1.04119, -0.265117, -0.494185, -0.408439, -0.358528,   1.25419,  0.957411,  0.972086,  0.112125,  -0.63784, -0.797134, -0.836101,  0.732107,    3.6548, -0.352617, -0.126782, -0.327787, -0.831162, -0.474343,   1.48221,   1.46321, 0.0535944, -0.139621, -0.727702, -0.773299,  -0.76178,  0.693069,    1.2196, -0.103281,  -0.39315,  -0.65629, -0.573102, -0.512806,  0.850791,   2.00655,  0.433127, -0.361094, -0.612489, -0.633283, -0.513137,   1.01577,   2.57748,  0.799387, -0.344532, -0.643213, -0.445337,  -0.20178,   1.30534)
			, WRES = c(   2.1956,   1.03594, -0.238666, -0.871846, -0.730055, -0.416929,  0.371293,  0.157504,  0.138789, -0.620371,  -0.71969,   -0.9319, -0.753322,  0.179095,   1.22926,  0.109945, -0.490268, -0.698167, -0.675849, -0.479172,  0.739685,  0.754878,  0.130448, -0.392538, -0.840965, -0.877817, -0.642382,  0.191382,   1.19412,  0.783338, -0.419914, -0.845157,  -0.74317, -0.391359,  0.473282,   1.38739,  0.226652, -0.365735, -0.940575,   -1.0564, -0.733773, 0.0968264,   1.31711, -0.295521, -0.689687, -0.680533, -0.698342, -0.603645,  0.740593,    3.1268,    0.3013, -0.0224455, -0.480062, -0.646973, -0.127279,   2.12088,  0.877866, -0.0436562, -0.324981, -0.843652,  -0.66586, -0.758016,  0.228382,   2.91596,   1.13576, -0.253403,  -0.43923, -0.223072, 0.0956531,   3.21337,  0.913006,   0.89016, 0.0256928, -0.697058,  -0.81582, -0.712968,  0.558011,   4.26884, -0.296063, 0.00194778, -0.171518, -0.671594,  0.151611,   5.08218,   1.40496, -0.0226553, -0.217313, -0.778533, -0.797777, -0.680913,  0.345438,   1.05356, -0.198105, -0.458426, -0.685857, -0.558634,  -0.37333,  0.986529,   1.94962,  0.382217, -0.400411, -0.620283, -0.570764, -0.254848,   1.80361,   2.68756,  0.840462, -0.354553, -0.612332, -0.256559,  0.349685,   3.82672)
			, CWRES = c(  2.07259,  0.985606, -0.230124, -0.866894, -0.755369, -0.446253,   0.54344,  0.169074,  0.150588, -0.673396, -0.811677,  -1.10079,  -0.92581,  0.425232,    1.2778,  0.115434, -0.509683, -0.728162, -0.708117, -0.503831,  0.813702,  0.784359,  0.138006, -0.419839, -0.927319,  -1.00405,  -0.76723,  0.409758,   1.20755,  0.796291, -0.429455, -0.875751,  -0.78627, -0.418255,   0.61718,   1.37586,   0.22737, -0.381993,  -1.03011,  -1.24881, -0.915963,  0.318717,   1.37134, -0.307015, -0.719743, -0.712584, -0.735736, -0.641689,  0.838012,   2.92209,  0.280288, -0.0207969, -0.433661, -0.565443, -0.105113,   1.43908,  0.912087, -0.0450586, -0.345283, -0.922158, -0.754349, -0.909802,  0.450942,   2.73261,   1.05138, -0.234752, -0.394776, -0.200254, 0.0681285,   1.74843,  0.925389,  0.907913, 0.0272925, -0.724842, -0.867081, -0.780465,  0.730737,   3.77021, -0.250314, 0.00175886,  -0.14464, -0.511186,  0.109562,   2.20738,   1.42381, -0.0230688, -0.225347, -0.825317,  -0.87701,  -0.77773,   0.55803,   1.12126, -0.207823, -0.482008, -0.718366, -0.580255, -0.384265,  0.925635,    1.9658,  0.378297, -0.399319, -0.608521,  -0.54763, -0.239382,   1.30364,   2.58943,  0.789017, -0.338936, -0.563257, -0.240241,  0.237361,   1.86924)
			, PPRED = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, PCWRES = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, CdfPCWRES = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, NPDE = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, CdfDV = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, NPD = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA)
			, ObsName = as.character(c("CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)", "CObs(ng/mL)"))
			, WhichDose = c(        1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1,         1)
			, WhichReset = c(        0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0,         0)
			) # end of residuals
		, "posthoc" = data.frame(
			  ID1 = as.character(c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""))
			, ID2 = as.character(c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""))
			, ID3 = as.character(c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""))
			, ID4 = as.character(c("", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""))
			, ID5 = as.character(c("1", "1", "1", "1", "1", "1", "1", "2", "2", "2", "2", "2", "2", "2", "3", "3", "3", "3", "3", "3", "3", "4", "4", "4", "4", "4", "4", "4", "5", "5", "5", "5", "5", "5", "5", "6", "6", "6", "6", "6", "6", "6", "7", "7", "7", "7", "7", "7", "7", "8", "8", "8", "8", "8", "8", "8", "9", "9", "9", "9", "9", "9", "9", "10", "10", "10", "10", "10", "10", "10", "11", "11", "11", "11", "11", "11", "11", "12", "12", "12", "12", "12", "12", "12", "13", "13", "13", "13", "13", "13", "13", "14", "14", "14", "14", "14", "14", "14", "15", "15", "15", "15", "15", "15", "15", "16", "16", "16", "16", "16", "16", "16"))
			, "time" = c(0, 0.26, 1.1, 2.1, 4.13, 8.17, 23.78, 0, 0.37, 0.83, 2.1, 4.12, 8.11, 24.08, 0, 0.39, 1.08, 2.02, 4.16, 7.9, 23.95, 0, 0.47, 1.02, 2.07, 3.78, 8.12, 23.9, 0, 0.35, 0.95, 1.92, 4.03, 8.11, 23.94, 0, 0.44, 0.83, 1.92, 4.01, 8.03, 24.05, 0, 0.65, 1.13, 2.03, 3.95, 8.05, 24, 0, 0.44, 1.02, 1.9, 3.87, 8.05, 23.99, 0, 0.45, 0.91, 1.93, 3.85, 8.02, 23.92, 0, 0.33, 0.92, 2.08, 3.95, 7.94, 23.96, 0, 0.42, 1.08, 1.97, 3.98, 8.12, 23.81, 0, 0.63, 1, 1.85, 3.88, 7.91, 23.98, 0, 0.59, 1.02, 1.96, 4.03, 7.88, 24, 0, 0.55, 1.09, 1.98, 3.98, 8.05, 23.97, 0, 0.6, 1.09, 1.98, 3.78, 7.87, 24.22, 0, 0.47, 0.85, 1.95, 3.91, 7.98, 24.19)
			, "V" = c(31.0033808090149, 31.0033808090149, 31.0033808090149, 31.0033808090149, 31.0033808090149, 31.0033808090149, 31.0033808090149, 34.8248636150266, 34.8248636150266, 34.8248636150266, 34.8248636150266, 34.8248636150266, 34.8248636150266, 34.8248636150266, 34.1515701641923, 34.1515701641923, 34.1515701641923, 34.1515701641923, 34.1515701641923, 34.1515701641923, 34.1515701641923, 34.1228612275805, 34.1228612275805, 34.1228612275805, 34.1228612275805, 34.1228612275805, 34.1228612275805, 34.1228612275805, 33.246839143463, 33.246839143463, 33.246839143463, 33.246839143463, 33.246839143463, 33.246839143463, 33.246839143463, 32.604996712564, 32.604996712564, 32.604996712564, 32.604996712564, 32.604996712564, 32.604996712564, 32.604996712564, 34.2065406380568, 34.2065406380568, 34.2065406380568, 34.2065406380568, 34.2065406380568, 34.2065406380568, 34.2065406380568, 30.6942555934468, 30.6942555934468, 30.6942555934468, 30.6942555934468, 30.6942555934468, 30.6942555934468, 30.6942555934468, 34.1259844366566, 34.1259844366566, 34.1259844366566, 34.1259844366566, 34.1259844366566, 34.1259844366566, 34.1259844366566, 30.7798971927669, 30.7798971927669, 30.7798971927669, 30.7798971927669, 30.7798971927669, 30.7798971927669, 30.7798971927669, 33.3210150676144, 33.3210150676144, 33.3210150676144, 33.3210150676144, 33.3210150676144, 33.3210150676144, 33.3210150676144, 28.9593144019617, 28.9593144019617, 28.9593144019617, 28.9593144019617, 28.9593144019617, 28.9593144019617, 28.9593144019617, 33.317830881286, 33.317830881286, 33.317830881286, 33.317830881286, 33.317830881286, 33.317830881286, 33.317830881286, 34.9152056799934, 34.9152056799934, 34.9152056799934, 34.9152056799934, 34.9152056799934, 34.9152056799934, 34.9152056799934, 33.1513188697735, 33.1513188697735, 33.1513188697735, 33.1513188697735, 33.1513188697735, 33.1513188697735, 33.1513188697735, 31.6675144243795, 31.6675144243795, 31.6675144243795, 31.6675144243795, 31.6675144243795, 31.6675144243795, 31.6675144243795)
			, "Cl" = c(5.61687975934275, 5.61687975934275, 5.61687975934275, 5.61687975934275, 5.61687975934275, 5.61687975934275, 5.61687975934275, 6.49854105104677, 6.49854105104677, 6.49854105104677, 6.49854105104677, 6.49854105104677, 6.49854105104677, 6.49854105104677, 5.37746067690157, 5.37746067690157, 5.37746067690157, 5.37746067690157, 5.37746067690157, 5.37746067690157, 5.37746067690157, 6.32507987426513, 6.32507987426513, 6.32507987426513, 6.32507987426513, 6.32507987426513, 6.32507987426513, 6.32507987426513, 5.59524580705746, 5.59524580705746, 5.59524580705746, 5.59524580705746, 5.59524580705746, 5.59524580705746, 5.59524580705746, 6.65827909543085, 6.65827909543085, 6.65827909543085, 6.65827909543085, 6.65827909543085, 6.65827909543085, 6.65827909543085, 5.43545497862573, 5.43545497862573, 5.43545497862573, 5.43545497862573, 5.43545497862573, 5.43545497862573, 5.43545497862573, 4.11330055775278, 4.11330055775278, 4.11330055775278, 4.11330055775278, 4.11330055775278, 4.11330055775278, 4.11330055775278, 6.23813312122677, 6.23813312122677, 6.23813312122677, 6.23813312122677, 6.23813312122677, 6.23813312122677, 6.23813312122677, 3.70067781012809, 3.70067781012809, 3.70067781012809, 3.70067781012809, 3.70067781012809, 3.70067781012809, 3.70067781012809, 5.62188808392584, 5.62188808392584, 5.62188808392584, 5.62188808392584, 5.62188808392584, 5.62188808392584, 5.62188808392584, 3.18763595150652, 3.18763595150652, 3.18763595150652, 3.18763595150652, 3.18763595150652, 3.18763595150652, 3.18763595150652, 5.95015423473636, 5.95015423473636, 5.95015423473636, 5.95015423473636, 5.95015423473636, 5.95015423473636, 5.95015423473636, 5.14391275712912, 5.14391275712912, 5.14391275712912, 5.14391275712912, 5.14391275712912, 5.14391275712912, 5.14391275712912, 4.44962498595545, 4.44962498595545, 4.44962498595545, 4.44962498595545, 4.44962498595545, 4.44962498595545, 4.44962498595545, 3.57453497391585, 3.57453497391585, 3.57453497391585, 3.57453497391585, 3.57453497391585, 3.57453497391585, 3.57453497391585)
			, "TableSource" = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
			) # end of posthoc
		, ".\\test.mdl" = as.character(c(
			  "test(){"
			, "    cfMicro(A1,Cl/V)"
			, "    dosepoint(A1)"
			, "    C = A1 / V"
			, "    error(CEps=0.1)"
			, "    observe(CObs=C * ( 1 + CEps))"
			, "    stparm(V = tvV * exp(nV))"
			, "    stparm(Cl = tvCl * exp(nCl))"
			, "    fixef(tvV = c(,16,))"
			, "    fixef(tvCl = c(,7,))"
			, "    ranef(diag(nV,nCl) =  c(1,1))"
			, "    secondary(Ke=tvCl/tvV)"
			, "}"
			))
		, "cols1.txt" = as.character(c(
			  "id(\"Subject\")"
			, "time(\"Act_Time\")"
			, "dose(A1<-\"Amount\")"
			, "obs(CObs<-\"Conc\")"
			, "table(file=\"posthoc.csv\", V, Cl, mode=keep)"
			))
		)
	, names = c("coefficients", "logLik", "nObs", "nSubj", "nParm", "returnCode", "omega", "eta", "eta_shrinkage", "sigma", "method", "stderrSecondary", "varFix", "omegaSE", "Covariance", "Correlation", "Inverse", "LLTable", "residuals", "posthoc", ".\\test.mdl", "cols1.txt")
	, class = "nlme"
	)
