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4
votes
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Multiple regression with missing predictor variable

Suppose we are given a set of data of the form $(y,x_{1},x_{2},\cdots, x_{n})$ and $(y,x_{1},x_{2},\cdots, x_{n-1})$. We are given the task of predicting $y$ based on values of $x$. We estimate two ...
1
vote
0answers
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Are there linear multiple regression methods resilient to missing data?

Are there any multiple linear regression methods or packages that are resilient to occasional missing values? I have no prior view on imputing the missing values based on the nature of the data, and I ...