Applied Predictive Modeling: Day 6

Ch6: Linear Regression and Its Cousins

  • Robust regression
    • Normal least square regression is not robust against outliers.
    • Use the L1 norm for residual computation.
    • Huber approach: use L2 norm when the difference is small, L1 when the difference is large.
    • R: rlm function in MASS library.
  • Partial least squares (PLS)
    • SIMPLS: An alternative approach to partial least squares regression by de Jong
  • Principal component analysis (PCA)
    • Eigenvalue decomposision of the data covariance matrix
    • Singular value decomposition of the data matrix

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