In reply to Hans Hockey.

Yes, since these data are longitudinal (repeated measures), you could choose other ways to fit a model. For 24 animals, you could use PROC NLMIXED and use the subject ID as a random variable. You could fit individual trajectories or the average trajectory. Some examples are in

"Longitudinal data: The mixed model."

"Visualize a mixed model that has repeated measures or random coefficients"