Hi, I am looking for a good orthogonal linear regression (L1) algorithm and have been pointed to Bargiela and Hartley www.doc.ntu.ac.uk/RTTS/Papers/rttg-publ02.ps. I don't quite get what they mean by "solving equation 29" -- obviuosly a 0 vector is a solution (often the only one); they must mean something else, so I can't reconstruct the algorithm.
Can anyone explain their algorithm, or does anyone know of an available implementation of it, or for that matter any good orthogonal linear L1 regression algorithm/implementation? I saw some references in the group (e.g Jackson, J. E. (1991), "A Users Guide To Principal Components", John Wiley and Sons, New York, chapter 15.) but haven't looked at them yet. Are these older algorithms much inferior to Bargiela-Hartley's? Please copy me on your replies to the group. Thank you Vitaly Kupisk [EMAIL PROTECTED] . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
