Principal Component Analysis (PCA) using R
PCA means Principal Component Analysis. Principal Component Analysis (PCA) is a powerful dimensionality reduction technique widely used in statistics, machine learning, and data analysis. In simpler terms, it’s a way to simplify complex data by reducing the number of variables while retaining the most important information. PCA is a multivariate technique that is used to … Read more