Hello,
I would like to state what I am (trying) to do. I have data set. It has 5749
rows (including the header) and 23 columns.  The data contains values
related to spatial aspects of the 412 landscapes (over various years). I
will be making 2 groups from the data based on spatial extent. I will then
be performing a quadratic lm for each extent by percent forest vs 1 of 8
other metrics. For a total of 16 (2 extents * 8 metrics) quad lm runs. I
will be doing this 'manually'. I hope this is the best way to do these
analyses.

e.g.
ed.qlm.s <- lm(data=small, pfor~ED+I(pfor^2))
pd.qlm.s <- lm(data=small, pfor~PD+I(pfor^2))
...
ed.qlm.l <- lm(data=large, pfor~ED+I(pfor^2))
pd.qlm.l <- lm(data=large, pfor~PD+I(pfor^2))
etc.

I am ultimately intested in the residuals and how they compare amongst
various delineations fo the data.

Q1: I would like to view the residuals for each run.  I think this might be
better done in a another program. I have the read the R import/export
manual. However, using it and trying to use the cat, list, sink, or write
functions I am still lost. What is the best way to export the residual (and
or other available data from lm) data for viewing elsewhere? A table?

Q2: How can I take the residuals and create an object(s) for further
analysis.

I'd appreciate any comments or suggestions including 'read the manual' but
if thats the case perhaps with a little direction.

Thank you kindly,
Cheers,
M Just

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