Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
regression analysis technique |
| gptkbp:alsoKnownAs |
gptkb:Partial_Least_Squares_regression
|
| gptkbp:appliesTo |
gptkb:chemometrics
social sciences bioinformatics econometrics |
| gptkbp:category |
supervised learning
linear regression |
| 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 |
PLS regression
|
| gptkbp:input |
matrix of predictors (X)
|
| gptkbp:introducedIn |
1970s
|
| gptkbp:output |
matrix of responses (Y)
|
| gptkbp:reduces |
covariance between X and Y
|
| gptkbp:relatedTo |
gptkb:principal_component_analysis
canonical correlation analysis |
| gptkbp:software |
gptkb:Python
gptkb:MATLAB R |
| gptkbp:usedFor |
multivariate analysis
predictive modeling dimension reduction |
| gptkbp:bfsParent |
gptkb:Partial_Least_Squares_(statistical_method)
|
| gptkbp:bfsLayer |
7
|