Returns the names of the predictor variables for the
different parts of a model (like fixed or random effects, zero-inflated
component, ...). Unlike `find_parameters()`

, the names from
`find_predictors()`

match the original variable names from the data
that was used to fit the model.

## Arguments

- x
A fitted model.

- ...
Currently not used.

- effects
Should variables for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated.

- component
Should all predictor variables, predictor variables for the conditional model, the zero-inflated part of the model, the dispersion term or the instrumental variables be returned? Applies to models with zero-inflated and/or dispersion formula, or to models with instrumental variable (so called fixed-effects regressions). May be abbreviated. Note that the

*conditional*component is also called*count*or*mean*component, depending on the model.- flatten
Logical, if

`TRUE`

, the values are returned as character vector, not as list. Duplicated values are removed.- verbose
Toggle warnings.

## Value

A list of character vectors that represent the name(s) of the
predictor variables. Depending on the combination of the arguments
`effects`

and `component`

, the returned list has following
elements:

`conditional`

, the "fixed effects" terms from the model`random`

, the "random effects" terms from the model`zero_inflated`

, the "fixed effects" terms from the zero-inflation component of the model`zero_inflated_random`

, the "random effects" terms from the zero-inflation component of the model`dispersion`

, the dispersion terms`instruments`

, for fixed-effects regressions like`ivreg`

,`felm`

or`plm`

, the instrumental variables`correlation`

, for models with correlation-component like`gls`

, the variables used to describe the correlation structure