Great Lecture. Could anyone answer my question:I understand that error vector (b-p) is smallest when e is orthogonal to column space. What I am confused at is the squared error portion. Using projection, I thought what was solved is the Xhat that could minimize the error vector instead of error square. Could anyone help me clarifying this?####[['Lecture', 'Course_General_Feedback', 'POS'], ['squared error portion', 'Mathematical_Related_Concept', 'NEU']]