[R-package] abess fails with one feature

[sebffischer]

Describe the bug

abess::abess() from R package fails when there is only one feature.

Code for Reproduction

library(abess)
library(data.table)

x = data.table(x = sample(100, size = 100))
y = factor(sample(c("a", "b", "c"), size = 100, replace = TRUE))

abess(x = x, y = y, family = "multinomial")
#> Error in Matrix::Matrix(x[, -y_dim], sparse = TRUE, dimnames = list(vn, : length of 'dimnames' [1] not equal to array extent

^{Created on 2023-03-01 with reprex v2.0.2}

Version: ‘0.4.7’

This did not happen in previous releases (you broke the CI of mlr3extralearners)

[bbayukari]

Hey, we have fixed this issue and the code for reproduction has been able to pass. We will soon publish a new abess version to completely address this issue.

Is there something else shall we do?

[sebffischer]

Thanks!
No thats it :)