Determine three model Parameters (least squares?)

Hey, I have a data set R(T), experimental values, and my model function is given by the following:
.
are unknown. How do I get the best fit for these three parameters using least squares? :/ :(
Or should I use another method?
Given data set:
R = [252.2 251.9 247.5 232.4 193.3 162.2 142.8 131];
T = [2 10 25 50 100 150 200 250];
Thank you!

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