query: Can principal component analysis be applied to datasets containing a mix of Ordinal and binary variables?
positive_passages.docid: 39839
positive_passages.text: Doing principal component analysis or factor analysis on binary data
negative_passages.docid: 18487
negative_passages.text: Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
negative_passages.docid: 156944
negative_passages.text: Is there a test/technique/method for comparing principal components decompositions between samples?
negative_passages.docid: 3589
negative_passages.text: How to reverse PCA and reconstruct original variables from several principal components?
negative_passages.docid: 60209
negative_passages.text: Post-hoc tests for MANOVA: univariate ANOVAs or discriminant analysis?
negative_passages.docid: 9757
negative_passages.text: Logistic regression with binary dependent and independent variables
negative_passages.docid: 71272
negative_passages.text: Scoring predictions of an ordinal variable
negative_passages.docid: 106415
negative_passages.text: Can binary data be ordinal?
negative_passages.docid: 139690
negative_passages.text: Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
negative_passages.docid: 155433
negative_passages.text: Examples of PCA where PCs with low variance are "useful"
negative_passages.docid: 55662
negative_passages.text: How to use principal components analysis to select variables for regression?
negative_passages.docid: 2632
negative_passages.text: PCA and the train/test split
negative_passages.docid: 86494
negative_passages.text: Mapping of categorical features into binary indicator features
negative_passages.docid: 17025
negative_passages.text: What exactly is called "principal component" in PCA?
negative_passages.docid: 81645
negative_passages.text: Combining PCA, feature scaling, and cross-validation without training-test data leakage
negative_passages.docid: 154261
negative_passages.text: PCA when the dimensionality is greater than the number of samples
negative_passages.docid: 46319
negative_passages.text: How to perform orthogonal regression (total least squares) via PCA?