Functional principal component analysis

Functional Principal Component Analysis (FPCA) is a way to look at data that can be represented as a combination of different straight lines. It can help people understand patterns and relationships between different variables and make predictions about what will happen in the future. To do this, FPCA looks at the data and finds the straight lines that explain the most of the data. It is like breaking down the data into small pieces and finding the areas where they overlap the most. This helps to find out what the most important factors are that are influencing the data and what might happen next. FPCA is used in many different fields, from medicine to economics, to help make predictions about the future.