A multiple linear regression model (Table ) was generated from the tablet data (Table ) to investigate the effects of process parameters on drug amorphization. Response modeling resulted in high R 2 and Q 2 values for degree of drug amorphization (R 2 = 0.917, Q 2 = 0.842) and Tmax (R 2 = 0.906, Q 2 = 0.865). Moreover, the predicted and observed values showed strong correlation (Figure ). It should be noted that an experiment outside the action limit of ± 4 standard deviations was identified as an outlier based on the deleted studentized residuals, and removed from the final regression model. Table . Adjusted models for degree of drug amorphization and maximum tablet temperature (Tmax). SPION content in the tablets had the strongest positive influence on tablet temperature (Table ). For all experiments, tablet temperature initially increased rapidly with exposure time until it plateaued (Table ) and Tmax was then maintained until the end of AMF exposure, which is also shown in tablet 26 (Figure ). Mn ferrites showed a much stronger influence on tablet temperature than Zn ferrites. Furthermore, Tmax showed a strong linear relationship to the extent of celecoxib amorphization (r = 0.96). Bold: factors with the most influence on the given response; b) Italics: non-significant parameters retained to conserve either the hierarchy or the predictability of the model. SPION composition had the strongest influence on the degree of drug amorphization (Table ).