Fellype - 2016-03-31

Actually it is not a SciDAVis bug, but it is related with the way that parameters are calculated using the Least Squares method when the data have y-errors [1]. In this case, an error equals to zero leads to an infinity weight, which results in the "nans".

[1] https://en.wikipedia.org/wiki/Least_squares#Weighted_least_squares

 

Last edit: Fellype 2016-03-31