Simultaneous Optimization of Several Response Variables

All the code shown below is available in the repository of this publication: Simultaneous Optimization of Several Response Variables. The problem of optimizing several response variables When we perform an experiment in the laboratory it is usual to quantify more than one response variable in each of our experimental units. Depending on our objectives we might be interested in maximizing some responses while the rest would only be measured in order to characterize the process....

February 2, 2023

Principal Component Analysis through Singular Value Decomposition

How to perform PCA trough singular value decomposition using R.  What is singular value decomposition? Singular value decomposition (SVD) is a factorization of a real or complex matrix which generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any m x n matrix: Where M is m x n, U is m x m, S is m x n, and V is n x n....

November 5, 2021