Matrix dimensions must agree.

Matrix dimensions must agree.
x1=data(:,2);
x2=data(:,3);
x3=data(:,4);
x4=data(:,5);
x5=data(:,6);
x6=data(:,7);
x7=data(:,8);
x8=data(:,9);
x9=data(:,10);
y=data(:,11);
input_train=[x1,x2,x3,x4,x5,x6,x7,x8,x9];
output_train=[y];
minp=min(input_train);
maxp=max(input_train);
mint=min(output_train);
maxt=max(output_train);
pn=2*(input_train-minp)/(maxp-minp)-1;
tn=2*(output_train-mint)/(maxt-mint)-1;
结果报错
Error using ==> minus
Matrix dimensions must agree.
Error in ==> rbf1 at 17
pn=2*(input_train-minp)/(maxp-minp);
我觉得矩阵的维度是一致的呀.可以相减