A common practice in digital soil mapping (DSM) is to incorporate many environmental covariates into a machine-learning algorithm to predict the spatial patterns of soil attributes. Variance inflation factor (VIF). principal component analysis (PCA). and recursive feature elimination (RFE) are three statistical methods that can be used to reduce the number of covariates. https://toyscyclers.shop/product-category/backpacks/