📄 regr.m
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function [b,s2,mu]=regr(y,x,noconstant);
%REGR [b,s2,mu]=REGR(y,x,'noconstant'). Least squares regression of y on
% x. The form REGR(y,x) includes an intercept, while
% REGR(y,x,'noconstant') does not. On output, b holds regression
% coefficients, s2 the residual mean square and MU the fitted values.
% GKS June 92. Last revision 25 Jan 94.
% Ensure data in columns
y = y(:);
[my ny] = size(y);
[mx nx] = size(x);
if mx ~= my,
if nx == my,
x = x';
else
disp('Regr: Dimensions of y and x don''t match.');
return;
end;
end;
% Remove missing values
x = excise([y x]);
y = x(:,1);
% Include constant term
if nargin < 3,
x(:,1) = ones(my,ny);
else
x(:,1) = [];
end;
b=x\y;
mu=x*b;
s2=(y-mu)'*(y-mu)./(length(y)-length(b));
se=sqrt(diag(inv(x'*x))).*sqrt(s2);
disp(' Coef S.E.');
disp([b se]);
disp(' Res mean square');
disp(s2);
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