Orthogonal Least Squares:
In ordinary least squares, we try to minimize the sum of the vertical squared distances between the observed points and the fitted line. In orthogonal least squares, we try to fit a line which minimizes the sum of the squared distances between the observed points and the fitted line, as measured perpendicular to that line.
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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