Kinetic model fitted by nonlinear regression to each dataset Structural model: d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) * parent d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) * parent - k_m1 * m1 Data: 509 observations of 2 variable(s) grouped in 15 datasets <mmkin> object Status of individual fits: dataset model 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 DFOP-SFO OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK: No warnings Mean fitted parameters: parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 100.702 -5.347 -0.078 -2.681 -4.366 g_qlogis -0.335