[R-sig-Geo] residuals of gwr and ols

[Milan Sharma]

Dear all,
I fitted gwr and ols and I was expecting that residuals for gwr will be smaller than that of ols. But, my result  (copied below) is kind of mixed. Some ols residuals are smaller than gwr, some are not.
Is it because of small samples? or anything else?
Milan
     -0.136016648  1.101457156 -1.578367473  0.105823902  2.564813044
 [6]  2.180718179  0.045675369 -4.507514803 -1.292321914 -2.485451077
[11] -0.368047977  1.691501792  2.684117999 -0.556613862 -0.289227113
[16] -0.155533739 -0.021840369 -0.021840369  2.173046587 -3.416457929
[21]  0.151411146  0.724629941 -2.876030643  1.023334130  0.918531627
[26] -1.376270203 -2.474632837  3.183919800 -0.177862432  0.022877635
[31] -2.141706576 -0.869152125  0.319373467 -1.648694491 -2.915420257
[36]  0.116417634 -2.337159270  1.938201163  2.738647354  2.644367167
[41]  2.550086985 -1.423905997  1.982824142  1.790273664 -0.748049508
[46] -3.107517323 -3.971182584  0.681914115  3.726619604  4.143072934
[51] -2.249552558 -2.790999526 -0.005880056  1.960107982  0.604239516
[56]  0.926852572  1.894691740  1.249465628 -0.917200873 -2.698823361
[61] -1.599490524  1.874868510  2.846065630 -0.201141839  1.391264890
[66] -2.591306751
> res.adpt$SDF$gwr.e
 [1]  0.003574804  0.401173060 -0.098673920 -0.398602560  0.388960727
 [6]  1.176528697  1.249810375 -3.083140986  0.875553761 -2.149192311
[11] -0.104606457 -0.027614179  0.571800125 -2.374157297  0.742099604
[16]  0.287192964 -0.250966065 -0.402284402  0.189696242 -1.393609850
[21]  0.051342940  0.566711177 -1.692136783  1.043811603 -0.771654807
[26] -0.055346083  0.122587447  1.031404349  0.173498890 -0.033888702
[31] -0.301781064 -0.189544419 -0.148000181 -1.282745180 -1.208561844
[36]  0.499945507 -0.199431072  0.152781739  0.351565548  3.161790009
[41] -0.105187439  0.166309039  0.581371048 -0.140668745 -0.982077223
[46] -0.657665352 -1.891088552 -0.496321984  1.332209404  1.874694434
[51]  0.079247599 -1.043226527  0.523089114  0.420164685  0.021321941
[56]  1.907471032  1.183379281  2.591380013 -0.333712724 -0.996557548
[61] -0.214775620 -0.266639348  0.208623714  0.367054376 -0.013960720
[66]  0.196095634