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Features Overview
Principal Component Regression (PCR)
Principal Component Regression (PCR)
Principal Component Regression (PCR)
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Related features
Distribution fitting
Linear regression
ANOVA (Analysis of variance)
ANCOVA (Analysis of Covariance)
Logistic regression (Binary, Ordinal, Multinomial, …)
Nonlinear regression
Nonparametric regression (Kernel and Lowess)
Mixed models
Repeated measures Analysis of Variance (ANOVA)
Ordinary Least Squares regression (OLS)
Partial Least Squares regression (PLS)
PLS discriminant analysis
Welch and Brown-Forsythe one-way ANOVA
Ordinal logit model
Log-linear regression (Poisson regression)
Two-stage least squares regression
Cubic splines
Quantile regression
Multivariate Analysis of Variance (MANOVA)