Dear R users,

Being a R-novice using version 1.7.0 I have not managed to solve the
following problem, so I turn to you:

I have 12 pairs nonlinear curves having some parameters (p1,p2,p3) in common
and others specific to one of the curves (p4a,p4b). I want to  fit a
nonlinear mixed model with nmle with the random effects varying over the 12
samples (pairs). In order to be able to estimate the parameters, the two
curve pairs must be analyzed/fitted simultaneously. Do you have any
suggestions on hov to proceed?

Sincerely

A. Frigyesi
Lund, Sweden

excerpt from data:

          pd           pair    e            individual
161 -8.5229    1   0.00         11
162 -8.0000    1   0.98         11
163 -7.5229    1   5.88         11
164 -7.0000    1  10.29         11
165 -6.5229    1  13.23         11
166 -6.0000    1  14.21         11
167 -5.5229    1  15.68         11
168 -5.0000    1  15.68         11
169 -8.5229    2   0.00         11
170 -8.0000    2   0.00         11
171 -7.5229    2   0.00         11
172 -7.0000    2   0.00         11
173 -6.5229    2   0.49         11
174 -6.0000    2   0.98         11
175 -5.5229    2   1.47         11
176 -5.0000    2   1.47         11
177 -8.5229    1   0.39         12
178 -8.0000    1   1.17         12
179 -7.5229    1   6.46         12
180 -7.0000    1  14.10         12
181 -6.5229    1  19.60         12
182 -6.0000    1  22.34         12
183 -5.5229    1  24.89         12
184 -5.0000    1  25.28         12
185 -8.5229    2   0.00         12
186 -8.0000    2   0.00         12
187 -7.5229    2   0.78         12
188 -7.0000    2   3.72         12
189 -6.5229    2   7.25         12
190 -6.0000    2  14.17         12
191 -5.5229    2  14.17         12
192 -5.0000    2  14.17         12

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