Quantitative Regression Analysis

These methods develop regression models which attempt to predict a quantity based on measurements of responses (x-block) and corresponding quantities (y-block) on known samples.

The y-block may contain a physical quantity which is directly related to the measurements in the x-block, or it may be a value which is indirectly related to the measured x-block values. In the latter case, the resulting model is considered an "inferential" model.

Standard Linear 2-way Modeling Methods

• analysis - Graphical user interface for data analysis.
• cls - Classical Least Squares regression for multivariate Y.
• pcr - Principal components regression for multivariate Y.
• pls - Partial least squares regression for multivariate Y.
• mlr - Multiple Linear Regression for multivariate Y.
• crossval - Cross-validation for decomposition and linear regression.

Other Methods

• Multiway Models
• Local, non-linear, and other regression methods

Other Topics

• Application of Models to New Data
• Model Analysis and Calculation Utilities
• Plotting Utilities
• Related Tools

(Sub topic of PLS_Toolbox_Topics)