pls: Run partial least squares analysis

In plsr: Pleasure - Partial Least Squares Analysis with Permutation Testing

Description

This is the main function of the plsr package. It will calculate a partial least squares solution for the provided data and perform permutation testing and bootstrapping on the resulting latent variables. Results will be saved as a plsr object.

Usage

pls(X, Y, n_perm = 100, n_boot = 100, scale = T, verbose = F,
  alpha = 0.05)

Arguments

X	A matrix of m observations on n_x variables.
Y	A matrix of m observations on n_y dimensions.
n_perm	Number of permutation iterations. Default is 100.
n_boot	Number of bootstrap iterations. Default is 100.
scale	Scaling of X and Y (Boolean).
verbose	Provides additional output.
alpha	The significance level for permutation testing.

Value

A plsr Object.

Examples

X = matrix(rnorm(300), ncol = 3)
Y = matrix(rnorm(1000), ncol = 10)
pls(X,Y)
pls(X,Y, n_perm = 10, n_boot = 10)

#running pls function on included data of the package
plsr_obj=pls(rating_data,tracking_data,1000,1000)
#inspecting results:
plot(plsr_obj)
summary(plsr_obj)

plsr documentation built on May 1, 2019, 11:28 p.m.