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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 
        100.700          -6.299          -0.078          -3.094          -3.954 
       g_qlogis 
          0.027

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