A perfume dataset contains features such as “Size”, “Type”, “Origin”. The “Size” column contains the values: “Small”, “Medium” and “Large”. A machine learning specialist wants to build a model to predict the prices of perfumes given those features, however, he wants to first apply a feature engineering technique on the “Size” column without losing the inherent relationship between the different values of “Size” column. Which technique should you recommend him?