Linear fit with both uncertainties in x and in y

Performs a linear fit with uncertainties in x and y, using a Monte Carlo method

This tool computes a linear fit when there are uncertainties in x data and y data. The best slope and intercept are computed by minimizing the chi2 calculated using both standard deviation on x and y (Deming fit). Data points are simulated using a Monte Carlo method so as to obtain the error on the fitted parameters.
If error on both x and y is not specified, error is assumed constant on y and computed.
Result of the fit is by default displayed, the best fit and a hull of all the possible fits are drawn.