Good morning,

I have this model, I have done some trials before, but trying with the simplest models, my residuals are always wrong, it doesn't matter how many predictors and random effects, I add them or not the result of the residuals is always wrong, I don't know what to do. Please can you help me?. I tried a lot of things (lmer, glmer, brms). Thank you so much!!!

lmer

```
modelo <- lmer(
Distancia ~ Enfermo + (1 | Nombre),
data = DATA
)
residuals <- resid(modelo)
fitted_values <- fitted(modelo)
plot(fitted_values, residuals, pch=3, col="green",
main="Plot of residuals from the appropriate\nmodel against fitted values")
lines(lowess(residuals~fitted_values))
```