R rlm模型错误:"x"为奇数:"rlm"中未实现奇异拟合 [英] R rlm model error: 'x' is singular: singular fits are not implemented in 'rlm'

问题描述

我在R中有这两个列表:

I have this two lists in R:

y=c(420.5568, 693.6305, 420.5568, 946.9677, 499.1046, 946.9677)
x=c(32, 29, 32, 27, 31, 27)

我正在尝试使用以下代码将此数据调整为rlm模型:

I'm trying to fit this data to rlm model using this code:

fit_new = (rlm(log(tail(y, 3)) ~ poly( tail(x,3), 2, raw=TRUE )))

响应是以下错误:

 Error in rlm.default(x, y, weights, method = method, wt.method = wt.method,  : 
'x' is singular: singular fits are not implemented in 'rlm'

推荐答案

总结我先前的评论:输入数据存在问题.即，存在重复的对(x, y).回归算法通常适用于矩阵，并且如果矩阵具有相同的行或列，则其行列式为零.一些算法可以解决这个问题.有些没有.

Wrapping up my earlier comment: there's a problem is with the input data. Namely, there are duplicate pairs (x, y). Regression algorithms usually work on matrices, and if a matrix has identical rows or columns, its' determinant is zero. Some algorithms can take care of that; some don't.

这是针对您数据的最小临时修复:使用unique删除重复项.不过请注意:作为一般解决方案，您必须删除重复的对，而不仅要分别删除x和y中的重复项.

Here's a minimal ad-hoc fix for your data: use unique to remove duplicates. Be careful though: as a general solution, you'll have to remove duplicate pairs, not only duplicates within x and y separately.

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