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How to use nonlinear least squares regression for a vector function?
How to use nonlinear least squares regression for a vector function?

I am trying to fit the function:
Revenue_i(time) = A0/(1+exp(-A1*(time-A2))) + B*Costs_i

I have 5,000 observations of Revenue and Costs for 8 time periods (time = 0,1,...7).

A0, A1, A2, and B are constants that I am trying to fit.

I am unsure of how to fit this function in Stata using the nl command.

Does anybody have suggestions?

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How to use nonlinear least squares regression for a vector function?

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Home / Data Cleaning / Data management / Data Processing / How to use nonlinear least squares regression for a vector function? How to use nonlinear least squares regression for a vector function?

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