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Data used in example 3 of Salmerón, García and García (2024) (subsection 4.3) on the number of employees of Spanish companies.

Usage

data("employees")

Format

A data frame with 15 observations on the following 5 variables:

NE

Number of employees (dependent variable).

cte

Intercept.

FA

Fixed assets (in euros).

OI

Operating income (in euros).

S

Sales (in euros).

Details

This dataset is originally used by Salmerón, Rodríguez, García and García (2020).

References

Salmerón, R., Rodríguez, A., García, C.B. and García, J. (2020). The VIF and MSE in raise regression. Mathematics, 8(4), doi: https://doi.org/10.3390/math8040605.

Salmerón, R., García, C.B. and García, J. (2025). A redefined Variance Inflation Factor: overcoming the limitations of the Variance Inflation Factor. Computational Economics, 65, 337-363, doi: https://doi.org/10.1007/s10614-024-10575-8.

Examples

  head(employees, n=5)
#>       NE cte       FA       OI        S
#> 1   2637   1    44153    38903    38867
#> 2  15954   1  9389509  4293386  4231043
#> 3 162503   1 17374000 23703000 23649000
#> 4 162450   1  9723088 23310532 23310532
#> 5  28389   1 95980120 29827663 29215382
  y = employees[,1]
  x = employees[,3:5]
  multicollinearity(y, x)
#>          RVIFs           c0           c3 Scenario Affects
#> 1 1.829154e-16 2.307712e-16 4.679301e-17      a.1      No
#> 2 1.696454e-12 9.594942e-13 2.129511e-13      b.1     Yes
#> 3 1.718535e-12 1.100437e-12 2.683809e-12      b.2      No