An alternative way to the F-Test approach is denoted as Model Comparison. During MOC calculations θ i is varied by an amount of δ θ while the remaining θ i = j are not optimised, but systematically varied to fullfill equation 35. The parameter θ i is then again changed by δ θ and the remaining θ i = j are varied to meet the condition in equation 35. This is repeated until the change of θ i disobeys equation 35. After performing this approach for all K parameters, the limits of the confidence region can be extracted from all obtained values of θ i as θ i,-= min(θ i ) and θ i,+ = max(θ i ). Assuming that there is only one parameter to be optimised, applying WGS and MOC as described in Motulsky and Christopoulos, both methods perform similarly: θ k will be varied by ±δ θ until SSE(θ k ) reaches the maximum possible SSE and the tuple (θ k,+ , θ k,-) correspondence to the confidence interval. This approach of continuously varying one parameter is implemented in SupraFit as Simplified Model Comparison ** δ θ is both, positive and negative so that θ i is tested for values smaller and greater than θi .