With the help of J. Baron's search engine, I found an old thread on reduced
major axis regression (see below). Prior to my creating a really awkward
function to accomplish RMA regression, I was wondering if anyone might
clarify Dr. Ripley's casual comments below.
On Fri, 4 Feb 2000, Pete St. Onge wrote:
>.......My
> understanding in the latter is that it minimizes the squares of both the
> horizontal and vertical distances from the regression line, and thus do
not
> impart any particular 'accuracy' to the predictor variable. ....
Ripley wrote:
...The sum of squares
of horizontal and vertical distances i just Euclidean distance^2 to the
projection on to the line, so this is just PCA. Use princomp and
take the first principal component.
****My question...take and do what with it?
thanks very much,
Henry
Martin Henry H. Stevens, Assistant Professor
338 Pearson Hall
Botany Department
Miami University
Oxford, OH 45056
Tel: (513) 529-4206
FAX: (513) 529-4243
http://www.muohio.edu/~botcwis/bot/henry.html
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