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2005 May 19
0
Fitting Data with errors to non-polynomial Linear Model
...ackage where it is possible to define arbitrary basis functions
for a linear Model?
2.The error in y can be taken into acount with the weight option, but what about the
error in X? (and in M, N and P)
3.Is it possible, with R, to handle with my bipartite fonction f3 simply? (with the
help of the unitstep function or something like that..?)
I know that the error in X can be implemented by what is called "effective
variances technique", but is it available in some package?
Many thanks for your help by advance.
Samuel
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