Split DataFrame into 2 lists by different column values

I have an example DataFrame (df).

df <- data.frame(Class = c("A", "B", "C", "D", "E"),
                 Numbers = c(4,2,4,1,4),
                 Names = c("Alice", "Daniel", "Helen", "John", "Alex"),
                 Weight = c(60, 72, 90, 100, 70)
                 
)

What I want is to create two lists with 5 DataFrames in each, with such conditions.

1) The first list (list_1) should contain DataFrames split by df$Class,
so every DataFrame will contain rows only for corresponding column values.
and this is easily done by

list_1 <- split(df,df$Class) 

As a result I get a list of 5 distinct DataFrames for each class:

2) This is where I struggle While the second list (list_2) should also contain DataFrames split by df$Class, but in a such way that first DataFrame in the list_2 will contain all row values except for the values of the first DataFrame in the list_1 and so on.

So, my desired output should look like this:

>Solution :

Loop over the names of the first list and then subset the ‘Class’ that is not equal (!=) to the looped value

list_2 <- lapply(names(list_1), function(cls) subset(df, Class != cls))

-output