Matlab realizes one/multiple linear regression

p = [...];%因变量数据
%ones(size(p))为固定格式,放在第一个。x1,x2,x3为自变量数据,要求几个自变量参数值应该有几个
Y = [ones(size(p)),x1,x2,x3...]; 
%regress函数实现回归求解,前面加上single比较好(不知道原因),注意顺序先因变量,再自变量
%输出参数结果在b中,所有变量为列向量。
[b,bint,r,rint,stats] = regress(single(p),single(Y));

%可通过r和rint画残差图,格式如下:
%中间截取100样本做残差分析图
reduce_r = ones(100,1);
for i=100:200
  reduce_r(i,:) = r(i,:);
end
reduce_rint = ones(100,2);%注意两列
for i=100:200
  reduce_rint(i,:) = rint(i,:);
end
rcoplot(reduce_r,reduce_rint)

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Origin blog.csdn.net/gls_nuaa/article/details/113127350