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2006 Jun 27
1
weights in multinom
...classes:
Class | num. Observations
A | 373
B | 631
C | 171
D | 700
E | 87
F | 249
G | 138
H | 133
I | 162
J | 407
Total: 3051
Where my data looks like:
x1	x2	x3	x4	Class
1	1,02	2	1	A
2	7,2	1	5	B
3	4,2	1	4	H
1	4,1	1	8	F
2	2,4	3	7	D
1	1,2	0	4	J
2	0,9	1	2	G
4	4	3	0	C
.	.	.	.	.
My model looks like:
estmodel <- multinom(choice ~ x1 + x2 + x3 + x4, data = trainset) 
When I estimate the model and use the resulting model for prediction of
'new' observations the model has a bias towards the Classes with a large
number of observations (A,B,D,J), the other classes are never predicted
by the model...