Chemometrics
偏最小二乘
Partial Least SquaresA statistical method used to model relationships between two matrices (X and Y) by projecting them to a new coordinate system. It is widely used for regression and classification tasks, particularly when the predictor variables are highly collinear. / 一种用于建模两个矩阵（X和Y）之间关系的统计方法，通过将它们投影到新的坐标系中来实现。它广泛用于回归和分类任务，特别是在预测变量高度共线的情况下。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-10 17:06:39
Sub-knowledge points
Multicollinearity handlingVariable selectionModel validation
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
X: Predictor matrix (spectral data)Y: Response matrix (concentration data)Components: Number of latent variables to extract
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsPu(IV) quantification via visible–near-infrared absorption spectroscopy: tackling interferences using D-optimal design and partial least squaresOpen source
Related products and links
No item recorded yet
Creation and modification trail
1 recordsRecord title: Partial Least Squares.
Node update feedback
review required