Partial least squares regression
GPTKB entity
Statements (27)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:alsoKnownAs |
gptkb:PLS_regression
|
| gptkbp:appliesTo |
gptkb:chemometrics
bioinformatics econometrics |
| gptkbp:category |
supervised learning
multivariate statistics |
| gptkbp:developedBy |
gptkb:Herman_Wold
|
| gptkbp:foundIn |
latent variables
|
| gptkbp:handles |
high-dimensional data
collinear data |
| https://www.w3.org/2000/01/rdf-schema#label |
Partial least squares regression
|
| gptkbp:implementedIn |
gptkb:Python
gptkb:MATLAB R |
| gptkbp:input |
matrix of predictors
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:output |
matrix of responses
|
| gptkbp:reduces |
sum of squared errors
|
| gptkbp:relatedTo |
gptkb:principal_component_analysis
gptkb:multiple_linear_regression |
| gptkbp:supportsAlgorithm |
linear regression
|
| gptkbp:usedFor |
dimensionality reduction
multivariate analysis predictive modeling |
| gptkbp:bfsParent |
gptkb:Herman_Wold
|
| gptkbp:bfsLayer |
7
|