Bootstrap based confidence limits in principal component analysis - A case study

► Bootstrap confidence limits are superior to asymptotic ones since they are data-based. ► Bootstrapping is useful for outlier detection. ► Bootstrapping algorithm in PCA is illustrated step-by-step. ► Modification for orthogonal Procrustes rotation step is presented. ► Bootstrapping can be useful in MSPC.