As my question shows it, I am not a statistician. My problem is that I have too many data points to be used in a nonlinear fit (I have millions of them, automatically acquired). Is there a methodology for sampling the data in order to minimize the loss of information ?
2026-04-03 02:54:48.1775184888
Sampling data prior to nonlinear regression
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