The error terms in your model are very important, because they seperate the error variance (noise in your data) from the true variance in your variable.
You should set the regression weight of only one variable to 1, otherwise your model doesn't make sense. All the error variables should have no weights.

[此贴子已经被作者于2009-3-27 15:43:55编辑过]