diff -r d59bea55db9b -r c445c931472f examples/cflsq.mod
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/examples/cflsq.mod	Mon Dec 06 13:09:21 2010 +0100
@@ -0,0 +1,51 @@
+/*Curve fitting problem by Least Squares
+  Nigel_Galloway@operamail.com
+  October 1st., 2007
+*/
+set Sample;
+param Sx {z in Sample};
+param Sy {z in Sample};
+
+var X;
+var Y;
+var Ex{z in Sample};
+var Ey{z in Sample};
+
+/* sum of variances is zero for Sx*/
+variencesX{z in Sample}: X + Ex[z] = Sx[z];
+zumVariancesX: sum{z in Sample} Ex[z] = 0;
+/* sum of variances is zero for Sy*/
+variencesY{z in Sample}: Y + Ey[z] = Sy[z];
+zumVariancesY: sum{z in Sample} Ey[z] = 0;
+
+solve;
+
+param b1 := (sum{z in Sample} Ex[z]*Ey[z])/(sum{z in Sample} Ex[z]*Ex[z]);
+printf "\nbest linear fit is:\n\ty = %f %s %fx\n\n", Y-b1*X, if b1 < 0 then "-" else "+", abs(b1);
+
+data;
+
+param:
+Sample:   Sx    Sy :=
+  1         0    1
+  2       0.5  0.9
+  3         1  0.7
+  4       1.5  1.5
+  5       1.9    2
+  6       2.5  2.4
+  7         3  3.2
+  8       3.5    2
+  9         4  2.7
+ 10       4.5  3.5
+ 11         5    1
+ 12       5.5    4
+ 13         6  3.6
+ 14       6.6  2.7
+ 15         7  5.7
+ 16       7.6  4.6
+ 17       8.5    6
+ 18         9  6.8
+ 19        10  7.3
+;
+
+end;