I have calibration data and I'm want to use the following model:(adsbygoogle = window.adsbygoogle || []).push({});

y = a + b*Ln(x)+ c*x

I'm looking for a way to make initial guesses for the three paramaters a, b and c.

Is there any way to linearize this expression so that I can use least squares analysis to determine values for a, b and c.

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# Model: y = a + b*Ln(x)+ c*x

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