dmp.txt <- structure(
	.Data = list(
		"coefficients" = list(
			"fixed" = c("tvV" = 15.3894299330472, "tvCl" = 6.61118636090944, "tvV2" = 41.1983727625058, "tvCl2" = 14.0298827601777, "CEps" = 0.161205834083769)
			, "random" = list("Subject" = matrix(
				as.numeric(c(
					-0.140114402075867, 0.480405555653219, 0.143678194519625
					, 0.21089030623355, -0.00780160218229526, 0.0199341439415999
					, 0.110048260171344, -0.255162281067422, 0.204357492416731
					))
				, nrow = 3, ncol = 3
				, dimnames = list(
					as.character(c("1", "2", "3"))
					, as.character(c("nV", "nCl", "nCl2"))
					)
				))
			)
		, "logLik" = c(-632.795)
		, "nObs" = c(21)
		, "nSubj" = c(3)
		, "nParm" = c(8)
		, "returnCode" = c(1)
		, "omega" = matrix(
			as.numeric(c(0.0696733205236224, 0, 0, 0, 0.182028092587238, 0, 0, 0, 0.0428950866224936))
			, nrow = 3, ncol = 3
			, dimnames = list(
				as.character(c("nV", "nCl", "nCl2"))
				, as.character(c("nV", "nCl", "nCl2"))
				)
			)
		, "eta" = matrix(
			as.numeric(c(-0.0036550934878723, 0.00178838892265353, -0.00327280333232169, 0.0537670854214871, 0.175280505150493, 0.0218139420919232, 0.231877306827311, 0.418665146806482, 0.147695436936702, 0.121533927510901, 0.0187094897407335, 0.286878872552387))
			, nrow = 3, ncol = 4
			, dimnames = list(
				as.character(c("nV", "nCl", "nCl2"))
				, as.character(c("mean", "var", "sd", "shrinkage"))
				)
			)
		, "sigma" = matrix(
			as.numeric(c(0.0259873209426437))
			, nrow = 1, ncol = 1
			, dimnames = list(
				as.character(c("CEps"))
				, as.character(c("CEps"))
				)
			)
		, "method" = "FOCE-ELS"
		, "varFix" = matrix(
			as.numeric(c(1.28951278615413, 0.706652869300096, 0.349031177590726, -0.160709742029619, -0.00643984864157606, 0.706652869300096, 0.525482939534139, 0.161929244676802, -0.262566978108339, -0.00424074611026606, 0.349031177590726, 0.161929244676802, 1.13383944293564, 0.169239110665838, 0.00251572530164727, -0.160709742029619, -0.262566978108339, 0.169239110665838, 1.07761623054018, -0.00168507888811286, -0.00643984864157606, -0.00424074611026606, 0.00251572530164727, -0.00168507888811286, 0.000391404991023407))
			, nrow = 5, ncol = 5
			, dimnames = list(
				as.character(c("tvV", "tvCl", "tvV2", "tvCl2", "CEps"))
				, as.character(c("tvV", "tvCl", "tvV2", "tvCl2", "CEps"))
				)
			)
		, "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"))
			, 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)
			, 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)
			, PRED = c(1624.49, 1159.39, 479.35, 270.272, 186.234, 127.098, 30.2186, 1624.49, 1012.95, 611.86, 270.272, 186.434, 127.802, 29.3957, 1624.49, 988.924, 487.415, 278.435, 185.637, 130.297, 29.7495)
			, IPRED = c(1868.82, 1260.36, 446.365, 233.917, 159.159, 104.114, 20.722, 1004.8, 718.759, 490.963, 221.071, 120.218, 70.0108, 10.6359, 1407.08, 878.22, 452.492, 268.321, 179.37, 122.876, 25.2701)
			, 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)
			, IRES = c(141.176, 69.6432, 118.635, -17.9174, 20.8409, 15.8859, -3.82205, -154.801, 76.2414, -127.963, 29.9288, -12.2184, -8.11082, 0.964108, 52.9199, -85.2201, -28.4916, 4.67873, 9.63012, -4.87561, 1.52988)
			, PREDSE = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
			, Weight = c(2.86328e-007, 6.29525e-007, 5.01904e-006, 1.82757e-005, 3.94764e-005, 9.22531e-005, 0.00232881, 9.90467e-007, 1.93568e-006, 4.14861e-006, 2.04614e-005, 6.91923e-005, 0.000204019, 0.00884, 5.05083e-007, 1.29656e-006, 4.88404e-006, 1.38896e-005, 3.10814e-005, 6.62321e-005, 0.00156598)
			, IWRES = c(0.46861, 0.342771, 1.64871, -0.475152, 0.812279, 0.946504, -1.14415, -0.95568, 0.658002, -1.61679, 0.839801, -0.630469, -0.718652, 0.562304, 0.233302, -0.601947, -0.390594, 0.108166, 0.333044, -0.24614, 0.37555)
			, WRES = c(0.767273, 0.164959, 0.729889, -1.23294, 0.228052, 0.0395965, -1.2292, -1.54146, -0.15391, -1.65345, 0.395486, -1.0232, -0.359183, 1.19903, -0.327386, -0.805523, -0.261459, 0.331507, 0.300224, -0.279486, 0.275806)
			, CWRES = c(0.697264, 0.186014, 0.671785, -1.42286, 0.353695, 0.0734048, -1.85992, -2.05136, 0.164055, -1.92838, 0.457223, -1.31357, -0.638463, 0.83366, -0.342941, -0.882947, -0.28454, 0.34874, 0.327052, -0.284754, 0.281939)
			, PPRED = c(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)
			, CdfPCWRES = c(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)
			, CdfDV = c(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)
			, ObsName = as.character(c("CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs", "CObs"))
			, WhichDose = c(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)
			) # 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", "2", "3"))
			, "time" = c(0, 0, 0)
			, "V" = c(13.3773971608386, 24.8805521818885, 17.7672895377112)
			, "Cl" = c(7.67278929985098, 10.9627158702904, 7.25166895305857)
			, "V2" = c(41.1983727625058, 41.1983727625058, 41.1983727625058)
			, "Cl2" = c(13.2068051382026, 12.2986165845784, 15.4926645457132)
			) # end of posthoc
		, "cols1.txt" = as.character(c(
			  "id(\"Subject\")"
			, "time(\"Act_Time\")"
			, "dose(A1<-\"Amount\")"
			, "obs(CObs<-\"Conc\")"
			, "table(file=\"posthoc.csv\", time(0), V,Cl,V2,Cl2)"
			, ""
			))
		)
	, names = c("coefficients", "logLik", "nObs", "nSubj", "nParm", "returnCode", "omega", "eta", "sigma", "method", "varFix", "residuals", "posthoc", "cols1.txt")
	, class = "nlme"
	)
