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        -2.783801057        2.05453604        0.597293933        0.352366333
2        -2.110457398        1.46223027        0.378407844        0.46036637
3        -1.269824408        0.698243163        0.184467091        0.63865918
4        -0.418685921        0.223582737        0.119873911        0.564089989
5        -0.319634257        0.047397387        0.085941498        0.644763045
6        -0.29621632        -0.298173123        0.051536779        0.636714572
7        -0.150043507        -0.578318555        0.026699481        0.59451448
8        -0.068048624        -0.544328058        0.020387397        0.464069476
9        -0.076794798        -0.459877937        0.011043286        0.512437085
10        -0.005192513        -0.854886026        0.006843218        0.396772771
;

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;