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dofit.m

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00001 function [ssx, y2] = dofit(y, Qd)
00002 %DOFIT Do constrained least squares fit and reduce data for subsequent fits
00003 
00004 % Fit y to design matrix in null space
00005 y2 = Qd' * y;            % rotate y into that space: predicted y value
00006 ssx = norm(y2)^2;        % sum of squares explained by fit
 
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