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eafit
2007 Apr 09
1
Could not fit correct values in discriminant analysis by bruto.
...cation, there
are a few methods that would choke on this (logistic regression) and a
few that won't (trees, svms etc). I would guess that bruto is in the
latter group.
However, if you are try to do classification, try using bruto via fda:
> tmp <- cbind(x, factor(y))
>
> fdaFit <- fda(y2~., tmp)
> fdaFit
Call:
fda(formula = y2 ~ ., data = tmp)
Dimension: 1
Percent Between-Group Variance Explained:
v1
100
Degrees of Freedom (per dimension): 5
Training Misclassification Error: 0 ( N = 20 )
>
> predict(fdaFit...