formulae_cleaned: Formulae from variable combinations without correlated...
In pezzacolori/boris-r-misc: Boris' miscellanea

Build the formulae (as strings) from variable names

formulae_cleaned(
  formula,
  dep = NULL,
  vars = NULL,
  nullmodelterm = "1",
  minsize = 1,
  maxsize = NULL,
  data,
  threshold = 0.6,
  use = "everything",
  method = c("pearson", "kendall", "spearman")
)

`formula`	formula with all the terms (beyond optimal model)
`dep`	name of the dependent variable. If the `formula` is specified, this argument is not considered.
`vars`	character vector with the names of the independent variables (wihtout nullmodel term). If the `formula` is specified, this argument is not considered.
`nullmodelterm`	to specify in case of an always required fixed term (should not be included in the vars)
`minsize`	minimum size of the formula (number of independent variables)
`maxsize`	maximum size of the formula (number of independent variables). NULL means unrestricted.
`data`	dataframe holding the dataset with the column names corresponding to vars
`threshold`	correlation threshold
`use`	an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs"
`method`	a character string indicating which correlation coefficient is to be computed. One of "pearson" (default), "kendall", or "spearman", can be abbreviated