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        -3.056839318        2.689947741        0.6065392        0.37287334
2        -1.835173301        1.270566444        0.36787334        0.5635723
3        -1.110405821        0.461982655        0.22311568        0.6471286
4        -0.674059926        0.004677187        0.13532281        0.66874695
5        -0.411361107        -0.243962198        0.08208463        0.6555579
6        -0.251648915        -0.371454896        0.049787305        0.6237807
7        -0.154424692        -0.427700805        0.030206513        0.5829738
8        -0.090074419        -0.449073979        0.018324666        0.53875566
9        -0.051077912        -0.444337915        0.011117484        0.49431548
10        -0.043956623        -0.404999643        0.006747611        0.45141503
;

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;