cov.biplot |
The covariance biplot |
cov.monoplot |
The covariance monoplot |
Mag.Bmat.plot |
Magnitude of the Partial Least Squares Regression (PLSR) coefficients matrix |
mod.KernelPLS_L |
The Kernel algorithm for few(er) variables but large samples by Lindgren et al. (1993) |
mod.KernelPLS_R |
The Kernel algorithm for few(er) samples but large variables by Rannar et al. (1994) |
mod.MMLR |
Multivariate Multiple Linear Regression (MMLR) |
mod.NIPALS |
The Nonlinear Iterative PArtial Least Squares (NIPALS) algorithm |
mod.PCA |
Principal Component Analysis (PCA) |
mod.PCR |
Principal Component Regression (PCR) |
mod.SIMPLS |
The Statistical Inspired Modification to Partial Least Squares (SIMPLS) algorithm |
mod.SPLS |
Sparse Partial Least Squares (SPLS) algorithm |
mod.VIP |
The Variable Importance in the Projection (VIP) values |
opt.penalty.values |
Choosing a value for penalty parameters lambdaX and lambdaY for the Sparse Partial Least Squares (SPLS) and Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM) analyses |
PCA.biplot |
The Principal Component Analysis (PCA) biplot |
PCA.biplot_no.SN |
The Principal Component Analysis (PCA) biplot with the labels of the samples points excluded |
PLS.binomial.GLM |
Partial Least Squares-Generalized Linear Model (PLS-GLM) fitted for Binomial y |
PLS.biplot |
The Partial Least Squares (PLS) biplot |
PLS.biplot.area |
The Partial Least Squares (PLS) biplot with triangles for estimating the Partial Least Squares Regression (PLSR) coefficients |
PLS.biplot_no.SN |
The Partial Least Squares (PLS) biplot with no sample points names |
PLS.biplot_no_labels |
The Partial Least Squares (PLS) biplot with the labels of the samples, coefficient points and tick markers excluded |
PLS.GLM |
Partial Least Squares-Generalized Linear Model (PLS-GLM) algorithm |
PLS.GLM.biplot |
The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM) |
PLS.GLM.biplot_bvec |
A zoomed-in display of the coefficient points in the Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM) |
PLS.GLM.biplot_no.SN |
The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM) with the labels of the sample points excluded |
PLS.GLM.biplot_no_labels |
The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM), with the labels of the samples, coefficient points and tick markers excluded |
PLS.GLM.biplot_SIMPLS |
The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM) fitted using the SIMPLS algorithm |
PLS.GLM.biplot_SIMPLS_no.SN |
The Partial Least Squares (PLS) biplot for Generalized Linear Model (GLM) fitted using the SIMPLS algorithm, with the labels of the sample points excluded |
PLS.GLM_SIMPLS |
Partial Least Squares-Generalized Linear Model (PLS-GLM) fitted using the SIMPLS algorithm |
SPLS.binomial.GLM |
Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM) algorithm for Binomial y |
SPLS.biplot |
The Partial Least Squares (PLS) biplot for Sparse Partial Least Squares (SPLS) |
SPLS.biplot_Bmat |
A zoomed-in display of the coefficient points in the Partial Least Squares (PLS) biplot for Sparse Partial Least Squares (SPLS) |
SPLS.biplot_no_ax.labels |
The Partial Least Squares (PLS) biplot for Sparse Partial Least Squares (SPLS), with the labels of the tick markers excluded |
SPLS.biplot_no_labels |
The Partial Least Squares (PLS) biplot for Sparse Partial Least Squares (SPLS), with the labels of the samples, coefficient points and tick markers excluded |
SPLS.GLM |
Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM) algorithm |
SPLS.GLM.biplot |
The Partial Least Squares (PLS) biplot for Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM) |
SPLS.GLM.biplot_bvec |
A zoomed-in display of the coefficient points in the Partial Least Squares (PLS) biplot for Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM) |
SPLS.GLM.biplot_no.SN |
The Partial Least Squares (PLS) biplot for Sparse Partial Least Squares-Generalized Linear Model (SPLS-GLM), with the labels of the sample points excluded |