Partial least squares regression
Regresión de mínimos cuadrados parciales
- Date
- 1966 · confidence low
- Place
- Uppsala, Sweden
- Credited to
- Herman Wold (1966)
- Field
- Knowledge & symbols
What was discovered
Statistical method that projects predictor and response variables onto a new space of maximum covariance, useful with many correlated variables; developed by Herman Wold as an alternative to principal component regression.
What it led to
- chemometrics and modern spectroscopic analysis
- predictive models with more variables than observations
- extension by Svante Wold to the chemical and pharmaceutical industries
- applications in genomics and bioinformatics