This is a simple example of a linear fit where a perfect fit is distorted with the help of a gaussian function. This data is then fit to a linear model. The most important factor determining the success of a fit is the model equation and the second most important factor is suitable starting values of the fit variables (a and b in this case). Further, if you assign the output to a variable called fit, values a and b can be extracted using:
fit < - nls
coef(fit)[1]
coef(fit)[2]
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