How to calculate the log likelihood of a fit

I wonder how to calculate the log likelihood value given a general fit on Matlab, for example: what is the log likelihood of the fit results of this data?

 xData = linspace(1,10,1000)';
 yData = xData + randn(1000,1);
 %%Fit: 'Linear'
 % Set up fittype and options.
 ft = fittype( 'T0+T1*D', 'independent', 'D', 'dependent', 'T' );
 opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
 opts.Display = 'Off';
 opts.Robust = 'Bisquare';
 opts.StartPoint = [0.568823660872193 0.469390641058206];

 % Fit model to data.
 [fitresult, gof] = fit( xData, yData, ft, opts );