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NEED LINEAR REGRESSION ROUTINE WHICH TREATS X AND Y EQUALLY [message #1149]

Fri, 16 July 1993 12:20

slohmeie
Messages: 2
Registered: July 1993

Junior Member

I want to fit a line to some data points in which neither the x or y axes are
independent. In other words I want to minimize the sum of the distance squared
between the points and the line itself instead of minimizing the sum of the
distance along the y axis squared between the points and the line.

Is there such a routine out there which has already been written? I don't
want to reinvent the wheel if I don't have to.

Thanks,
Steve Lohmeier

P.S. I have IDL and PV-Wave and access to IMSL, Johns-Hopkins, and Astronomy
routines, so the routine may be unsder my nose, and I just need help finding it.

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NEED LINEAR REGRESSION ROUTINE WHICH TREATS X AND Y EQUALLY

By: slohmeie on Fri, 16 July 1993 12:20

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