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Simulated dataset with collinearity and mild nonlinearity

diagnostic_data.Rd

This dataset contains two predictors with correlation and a response including a quadratic term. It is useful for testing diagnostics beyond heteroscedasticity.

Usage

data(diagnostic_data)

Format

A data frame with 150 rows and 3 variables:

x1

first predictor

x2

second predictor, correlated with x1

y

response

Source

Simulated via set.seed(123).

Examples

data(diagnostic_data)
head(diagnostic_data)
#>            x1          x2             y
#> 1 -0.56047565 -0.48170176 -2.124232e+00
#> 2 -0.23017749 -0.15327327 -6.463729e-01
#> 3  1.55870831  1.59192857  9.169449e+00
#> 4  0.07050839 -0.03032927  1.411932e-06
#> 5  0.12928774  0.11734247  1.181801e+00
#> 6  1.71506499  1.68702545  1.129311e+01