Hello,
I am exploring gams for a modelling task in irrigation systems. I attempted the attached model of least square fit of the form:
y= ax^2 + bx +c to a small data set. where i know that a= 1, b= 0 and c=0.
the model runs well and gives expected results when using variables a, b, c as follows:
LOWER LEVEL UPPER MARGINAL
---- VAR a -INF 1.0000 +INF EPS
---- VAR b -INF 5.551115E-17 +INF EPS
---- VAR c -INF -6.24500E-16 +INF EPS
---- VAR sse -INF . +INF .
however, it gives unexpected results when using variables coef(j) defined over sets j /1*3/ as in:
y= coef(j)*x^2 + coef(j)*x + coef(j)
---- VAR coef
LOWER LEVEL UPPER MARGINAL
a -INF 0.7246 +INF EPS
b -INF 0.7246 +INF EPS
c -INF 0.7246 +INF EPS
what am i missing? I appreciate quick help on this, and thanks.
testFit_LInear.log (2.24 KB)
testFit_LInear.gms (599 Bytes)