Hi @AdditivePony307 : When you say "exponential" what exactly do you mean?
1. Something like this: Y=A*exp(k*x)
2. Something like this: Y = A*(1-exp(k*x))
If (1), then you can use Fit Y by X. Then choose "Fit Special..." and choose Natural Log under Y transformation (see screen shots below). If more like (2) the you will have to go through the non-linear platform. If (1) via below, then the "intercept" in the Parameter Estimates output is ln[A] (so A = exp[intercept] ) , and "X" (whatever your X is) is k.
![MRB3855_0-1713174986073.png MRB3855_0-1713174986073.png](https://community.jmp.com/t5/image/serverpage/image-id/63336iBE11C6774EB8C2C4/image-size/medium?v=v2&px=400)
![MRB3855_1-1713175002575.png MRB3855_1-1713175002575.png](https://community.jmp.com/t5/image/serverpage/image-id/63337i053B7D5FE8ABE4D6/image-size/medium?v=v2&px=400)