Give a predictor its correct R class, and `np` carries that meaning through the analysis.

With year ordered, cross-validation tunes a discrete Li–Racine kernel; the fitted values are level-specific, and Delta is an adjacent-level difference.

With year numeric, it tunes a continuous Gaussian kernel and returns an analytic derivative.

Give the variable the right class; `np` handles the rest.