在交叉验证中出现排名不足错误

问题描述 投票:0回答:0

嗨,我正在尝试交叉验证我的多重逻辑预测模型。我以前在相同的数据上使用过以下代码,它从来没有给我带来问题,但现在它给出了等级不足错误。任何帮助将不胜感激。

`

quadratic <- qda(Outcome ~ Var1 + Var2 + Var3 + Var4, data = DATA, prior = c(0.14 , 0.86))
quadratic

## Data explanation below
## Var1: binary data
## Var2: Continuous data
## Var3: Continuous data
## Var4: Continuous data


0.14: 14% prevalance of disease in the population
0.86: 100-0.14
`

The error I am getting is the following:

"Error in qda.default(x, grouping, ...) : rank deficiency in group 1"









I tried removing the prior part of the command but I am still getting the error. I also tried to remove the most collinear variable which is Var2 but I am getting the same error.
rstudio cross-validation knn predictive loocv
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