Getting error of invalid type for list while my object is a dataframe

I have the dataframe below:

df<-structure(list(Answer.circleAnswer = c(221, 703, 706, 551, 359, 
473, 709, 780, 736, 608, 211, 291, 483, 394, 768, 610, 679, 799, 
331, 484, 224, 370, 767, 355, 419), Answer.circlesGuessSlider = c(499, 
550, 800, 651, 700, 650, 611, 800, 567, 500, 400, 200, 305, 550, 
800, 271, 650, 500, 335, 600, 200, 350, 650, 359, 530), Answer.circlesGuessText = c(499, 
550, 1000, 651, 700, 650, 611, NA, 567, 500, 400, 200, 305, 550, 
NA, 271, 650, 500, 335, 600, 50, 350, 650, 359, 530)), row.names = c(NA, 
-25L), class = c("tbl_df", "tbl", "data.frame"))

and Im trying to:

vif.1 <- usdm::vif(df)

but I get:

Error in model.frame.default(formula = y[, i] ~ ., data = y[-i], drop.unused.levels = TRUE) : 
  invalid type (list) for variable 'y[, i]'

>Solution :

Convert to data.frame or matrix and it should work

 usdm::vif(as.data.frame(df))
                  Variables       VIF
1       Answer.circleAnswer  1.408335
2 Answer.circlesGuessSlider 19.887190
3   Answer.circlesGuessText 20.169362

because according to ?vif

x – explanatory variables (predictors), defined as a raster object (RasterStack or RasterBrick), or as a matrix, or as a data.frame.

Here, the object is not only a data.frame, but also a tibble (tbl_df).

> class(df)
[1] "tbl_df"     "tbl"        "data.frame"

Therefore, it showed the error

> usdm::vif(df)
Error in model.frame.default(formula = y[, i] ~ ., data = y[-i], drop.unused.levels = TRUE) : 
  invalid type (list) for variable 'y[, i]'