Linear fit with data uncertainty

Hi

Fitting a polynomial in Matlab to some data (x, y) is easy using polyfit as e.g.

p_RvsT = polyfit(r_vs_t(:, 1), r_vs_t(:, 2), 1);

However, say that my y-data has some error assigned to it. I have searched the forum, but I can't find information on how to include the errors in the y-data. I would be very happy to be pointed in the correct direction.

Best, Niles.

Answer 1

[Sean de Wolski]

How about the additional outputs in regress? Or if you're on R2012a, LinearModel? (Both of these require the Statistics Toolbox)