Suppose that our data matrix X has a duplicated column, i.e, there is a duplicated feature and the matrix is not full column rank. What happpens?

I guess that we can not find a unique solution because that's the case for the close form in linear regression, but I do not see how to show that intuitively, or even if it is true or not.