theophylline <- structure(list(ID = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L), DOSE = c(4.02, 4.02, 4.02, 4.02, 4.02, 4.02, 4.02, 
4.02, 4.02, 4.02, 4.02, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 
4.4, 4.4, 4.4, 4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 
4.53, 4.53, 4.53, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 4.4, 
4.4, 4.4, 5.86, 5.86, 5.86, 5.86, 5.86, 5.86, 5.86, 5.86, 5.86, 
5.86, 5.86, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4.95, 4.95, 4.95, 
4.95, 4.95, 4.95, 4.95, 4.95, 4.95, 4.95, 4.95, 4.53, 4.53, 4.53, 
4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 4.53, 3.1, 3.1, 3.1, 
3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 3.1, 5.5, 5.5, 5.5, 5.5, 5.5, 
5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 4.92, 4.92, 4.92, 4.92, 4.92, 4.92, 
4.92, 4.92, 4.92, 4.92, 4.92, 5.3, 5.3, 5.3, 5.3, 5.3, 5.3, 5.3, 
5.3, 5.3, 5.3, 5.3), TIME = c(0, 0.25, 0.57, 1.12, 2.02, 3.82, 
5.1, 7.03, 9.05, 12.12, 24.37, 0, 0.27, 0.52, 1, 1.92, 3.5, 5.02, 
7.03, 9, 12, 24.3, 0, 0.27, 0.58, 1.02, 2.02, 3.62, 5.08, 7.07, 
9, 12.15, 24.17, 0, 0.35, 0.6, 1.07, 2.13, 3.5, 5.02, 7.02, 9.02, 
11.98, 24.65, 0, 0.3, 0.52, 1, 2.02, 3.5, 5.02, 7.02, 9.1, 12, 
24.35, 0, 0.27, 0.58, 1.15, 2.03, 3.57, 5, 7, 9.22, 12.1, 23.85, 
0, 0.25, 0.5, 1.02, 2.02, 3.48, 5, 6.98, 9, 12.05, 24.22, 0, 
0.25, 0.52, 0.98, 2.02, 3.53, 5.05, 7.15, 9.07, 12.1, 24.12, 
0, 0.3, 0.63, 1.05, 2.02, 3.53, 5.02, 7.17, 8.8, 11.6, 24.43, 
0, 0.37, 0.77, 1.02, 2.05, 3.55, 5.05, 7.08, 9.38, 12.1, 23.7, 
0, 0.25, 0.5, 0.98, 1.98, 3.6, 5.02, 7.03, 9.03, 12.12, 24.08, 
0, 0.25, 0.5, 1, 2, 3.52, 5.07, 7.07, 9.03, 12.05, 24.15), DV = c(NA, 
2.84, 6.57, 10.5, 9.66, 8.58, 8.36, 7.47, 6.89, 5.94, 3.28, NA, 
1.72, 7.91, 8.31, 8.33, 6.85, 6.08, 5.4, 4.55, 3.01, 0.9, NA, 
4.4, 6.9, 8.2, 7.8, 7.5, 6.2, 5.3, 4.9, 3.7, 1.05, NA, 1.89, 
4.6, 8.6, 8.38, 7.54, 6.88, 5.78, 5.33, 4.19, 1.15, NA, 2.02, 
5.63, 11.4, 9.33, 8.74, 7.56, 7.09, 5.9, 4.37, 1.57, NA, 1.29, 
3.08, 6.44, 6.32, 5.53, 4.94, 4.02, 3.46, 2.78, 0.92, NA, 0.85, 
2.35, 5.02, 6.58, 7.09, 6.66, 5.25, 4.39, 3.53, 1.15, NA, 3.05, 
3.05, 7.31, 7.56, 6.59, 5.88, 4.73, 4.57, 3, 1.25, NA, 7.37, 
9.03, 7.14, 6.33, 5.66, 5.67, 4.24, 4.11, 3.16, 1.12, NA, 2.89, 
5.22, 6.41, 7.83, 10.21, 9.18, 8.02, 7.14, 5.68, 2.42, NA, 4.86, 
7.24, 8, 6.81, 5.87, 5.22, 4.45, 3.62, 2.69, 0.86, NA, 1.25, 
3.96, 7.82, 9.72, 9.75, 8.57, 6.59, 6.11, 4.57, 1.17), WEIGHT = c(79.6, 
79.6, 79.6, 79.6, 79.6, 79.6, 79.6, 79.6, 79.6, 79.6, 79.6, 72.4, 
72.4, 72.4, 72.4, 72.4, 72.4, 72.4, 72.4, 72.4, 72.4, 72.4, 70.5, 
70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 72.7, 
72.7, 72.7, 72.7, 72.7, 72.7, 72.7, 72.7, 72.7, 72.7, 72.7, 54.6, 
54.6, 54.6, 54.6, 54.6, 54.6, 54.6, 54.6, 54.6, 54.6, 54.6, 80, 
80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 64.6, 64.6, 64.6, 64.6, 
64.6, 64.6, 64.6, 64.6, 64.6, 64.6, 64.6, 70.5, 70.5, 70.5, 70.5, 
70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 70.5, 86.4, 86.4, 86.4, 86.4, 
86.4, 86.4, 86.4, 86.4, 86.4, 86.4, 86.4, 58.2, 58.2, 58.2, 58.2, 
58.2, 58.2, 58.2, 58.2, 58.2, 58.2, 58.2, 65, 65, 65, 65, 65, 
65, 65, 65, 65, 65, 65, 60.5, 60.5, 60.5, 60.5, 60.5, 60.5, 60.5, 
60.5, 60.5, 60.5, 60.5), MDV = c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), AMT = c(4.02, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 4.53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.4, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 0, 5.86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 
0, 0, 0, 0, 0, 0, 4.95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.53, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 3.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
5.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4.92, 0, 0, 0, 0, 0, 0, 0, 
0, 0, 0, 5.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)), .Names = c("ID", 
"DOSE", "TIME", "DV", "WEIGHT", "MDV", "AMT"), row.names = c(NA, 
-132L), class = "data.frame")