All - 

Not sure if this is a real programming question, but here goes:

I have data that looks like

Lake	Length	Weight
1	158	45
1	179	70
1	200	125
1	202	150
1	206	145
1	209	165
1	210	140
1	215	175
1	216	152
1	220	150
1	221	165
...

where lake goes from 1 - 84 and the number of rows for each lake is variable (but > ~20).  
I'm trying to do two things: 1) build a simple linear model of the form 

{lm(log10(Weight)~log10(Length)}

for every separate lake in the data set; 2) I'd like to save the intercepts and slopes 
from each of these linear regressions into a seperate data frame.  Any ideas?  I think it would 
probably require some kind of 'for' statement, but I'm just not that smart.

Thanks for your help, 

SR  

Steven H. Ranney
Graduate Research Assistant (Ph.D)
USGS Montana Cooperative Fishery Research Unit
Montana State University
PO Box 173460
Bozeman, MT 59717-3460

phone: (406) 994-6643
fax:   (406) 994-7479


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