least squares linear fit to be forced to pass through a specified point

How can least squares linear fit be forced to pass through a specified point

Answer 1

[the cyclist]

Do you have the Statistics Toolbox? If so, you could use the nlinfit() function to do this. Here is a simple example that you might be able to tailor to your needs:

% Data
x = 1:8;
y = 3*x + 0.4*rand(1,8);

% Example of linear model through a fixed point
f = @(p,x) p(1)*x - 0.2;

% Fit
beta0 = [1];
[beta,r,j,covb,mse] = nlinfit(x,y,f,beta0)