Keywords
Related Publications
Partial least squares regression and projection on latent structure regression (PLS Regression)
Abstract Partial least squares (PLS) regression ( a.k.a. projection on latent structures) is a recent technique that combines features from and generalizes principal component a...
Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative d...
Correspondence Analysis in Practice
Preface Scatterplots and Maps Profiles and the Profile Space Masses and Centroids Chi-Square Distance and Inertia Plotting Chi-Square Distances Reduction of Dimensionality Optim...
Regression methods for high dimensional multicollinear data
To compare their performance on high dimensional data, several regression methods are applied to data sets in which the number of exploratory variables greatly exceeds the sampl...
A Linear Spatial Correlation Model, with Applications to Positron Emission Tomography
Abstract A simple spatial-correlation model is presented for repeated measures data. Correlation between observations on the same subject is assumed to decay as a linear functio...
Publication Info
- Year
- 1995
- Type
- article
- Volume
- 57
- Issue
- 3
- Pages
- 255-289
- Citations
- 1896
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1007/bf00877430