Base class for regression modules
Simple Linear Regression
Multivariate linear regression
Polynomial Regression
Power regression
Regression algorithms
Exponential Regression
Robust polynomial regression using LMedS
Logistic regression
Theil-Sen regression
Polynomial Regression 2D
Fit a model to noisy data by excluding outliers. This is an implementation of the RANSAC algorithm.
CART decision tree algorithm
Lasso (least absolute shrinkage and selection operator) Regression
Module for adding visual regression testing to Cypress
Iterative regression based baseline correction
Regression transform for Vega dataflows.
Calculate statistical regressions for two-dimensional data
Matrix manipulation and computation library
Get the maximum value in an array
Various method to process spectra
Get the minimum value in an array
Random forest for classification and regression
Javascript least squares data fitting methods
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