Home/ Questions/Solving the error: error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-na) cases
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Aaron Pichon
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Asked: 2022-05-17T12:49:08+00:00 In:

Solving the error: error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …) : 0 (non-na) cases

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For the problem “error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, …) : 0 (non-na) cases.” I tried to fix it, but It doesn’t work and returns the result I want. Here is my program:

urban1 <- subset(ski,urban <= 4,na.rm=TRUE)
 ski$gender <- as.numeric((as.character(ski$gender)),na.rm=TRUE)
 urban1 <- as.numeric((as.character(urban1)))
 x <- (ski$gender*urban1)
 y <- ski$EPSI.
 bc <- boxcox(y ~ x) 
 (trans <- bc$x[which.max(bc$y)]) 
 model3 <- lm(y ~ x) 
 model3new <- lm(y^trans ~ x)
 ski$EPSI. <- ski$EPSI. + 1

and

Error in lm.fit(x,y,offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases Calls: ... eval -> eval -> boxcar -> boxcar.formula -> lm -> lm.fit Execution halted

has occurred. I’ve checked the entire command line but still can’t find the mistake.

error in lm.fit
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2 Answers

  1. Best Answer
    Expert

    The cause: Because variables x or y or both x and y have  only NAs, the lm(y x) command appears as an error.

    Solution:

    Before your lm commands, for example:

    I recommend testing if one of the variables contains all NAs:

    all(is.na(x))
all(is.na(y))
all(is.na(y^trans))

    For instance:

    all(is.na(y))
[1] TRUE
    • 15

  2. This error can be caused by NA in your data , or bad transformation. 

    #From the mtcars dataset
mpg.reg3 <- lm(mpg ~ cylinders + displacement + horsepower + weight + acceleration + year + origin, data=Auto, na.action=na.exclude)

    Pay attention to the na.action= argument. This will enable the lm function not to consider NA’s in your data by setting it to na.exclude. na.omit is another option that acts in a slightly different way.

    Another problem could be a bad data transformation. Double-check your interactions terms and manipulations.

    • 12

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