Can you send us your Skyline document?
In Skyline you can use the menu item:
File > Share
to create a .zip file containing your Skyline document and supporting files including extracted chromatograms.
Files which are less than 50MB can be attached to these support requests. You can always upload larger files here:
https://skyline.ms/files.url
I am not sure why you would be seeing NaN as the slope and intercept for the calibration curve that Skyline has calculated. "NaN" stands for "Not a number" and it is the value that the computer returns when doing things like dividing by zero. Probably one of the standards is causing an infinity to be part of the linear regression, which results in the NaN result. I do not know where that infinity might be coming from. One common source of infinity would be if you specified "0" as the analyte concentration of one of the Standards and had chosen "1/x" weighting. Skyline is supposed to notice that and just exclude that particular standard. Another source of infinity would be if you are doing ratio to heavy normalization and the heavy area is zero. I thought Skyline would also exclude infinities caused by that too.
After I see your Skyline document I will probably be able to tell you what is going wrong.
The most common settings for calibration curves is "Linear" regression fit and "1/(x*x)" weighting like you have.
"Bilinear" is a bit of a novel technique that Skyline does where the lower part of the calibration curve is horizontal in order to better model data below the limit of detection. You can read about that in this paper:
https://pubmed.ncbi.nlm.nih.gov/32037841/
If you want to calculate limit of detection, there are two techniques which Skyline offers.
If you have multiple blank samples, then you can use either the Blank plus two standard deviations or Blank plus three standard deviations options for "Calculate LOD By" on the Quantification tab at "Settings > Peptide Settings".
Note that if you have some standards whose analyte concentration is zero, their sample type should be specified as "Blank" not "Standard".
If you do not have blank samples then you could use "Bilinear" as the regression fit and choose "Bilinear turning point" for the LOD calculation. This will cause the LOD to be reported as the point where the piecewise linear calibration curve switches from being horizontal to having a positive slope.
-- Nick