set exp dies ist bla /1*10/
        quantities /dZ1,dZ2,Z1,Z2/;

variables dZ1_mod, dZ2_mod, dZ3_mod, P1, P2, w;

table meas(exp,quantities)
         dZ1                 dZ2                Z1                 Z2
1        -3.189032787        2.716658016        0.528393645        0.369681131
2        -1.95495182        1.162920616        0.293727249        0.784092338
3        -0.775686352        0.14915122        0.142304976        0.482472915
4        -0.188610639        -0.136745231        0.122076331        0.70553687
5        -0.423186173        -0.326301968        0.087033165        0.534051012
6        -0.2767788        0.086406459        0.039990087        0.533736483
7        -0.077957422        0.14491335        0.031737779        0.634389044
8        -0.109498787        -0.187800059        0.021212518        0.656516282
9        -0.078504818        -0.322596154        0.009798292        0.511132395
10        0.016605679        0.105826884        0.007411851        0.56922079

;

equations E1, E2, obj;

E1(exp)..  dZ1_mod(exp) =E=  -P1*meas(exp, 'Z1') ;
E2(exp)..  dZ2_mod(exp) =E=  P1*meas(exp, 'Z1') -  P2*meas(exp, 'Z2');

Obj..  w =E= sum( exp, (dZ1_mod(exp) - meas(exp, 'dZ1'))*(dZ1_mod(exp) - meas(exp, 'dZ1')) + (dZ2_mod(exp) - meas(exp, 'dZ2'))*(dZ2_mod(exp) - meas(exp, 'dZ2')) );

P1.lo = 0;
P1.up = 10;
P2.lo = 0;
P2.up = 10;

 MODEL TEST / E1, E2, obj / ;

 OPTION LIMROW = 0.0;
 OPTION LIMCOL = 0.0;
*OPTION MINLP=SBB;

 SOLVE TEST USING NLP minimiZING w;