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!

Answer 1

[Matt J]

lsqcurvefit would be appropriate,

https://www.mathworks.com/help/optim/ug/lsqcurvefit.html

[Judy Moore]

Thank you!! :)