Title: Linear Splines with Convenient Parametrisations
Description: Linear splines with convenient parametrisations such that
(1) coefficients are slopes of consecutive segments or (2) coefficients are
slope changes at consecutive knots. Knots can be set manually or at break points
of equal-frequency or equal-width intervals covering the range of 'x'.
The implementation follows Greene (2003), chapter 7.2.5.
Suggests: testthat, knitr, rmarkdown, scales, ggplot2, broom
Authors@R: c(person("Michal", "Bojanowski", role=c("aut", "cre"), email="michal2992@gmail.com"))

Description: Implements the LS-PLS (least squares - partial least squares)
method described in for instance J�rgensen, K., Segtnan, V. H., Thyholt, K.,
N�s, T. (2004)  A Comparison of Methods for Analysing Regression Models with
Journal of Chemometrics, 18(10), 451--464.

Description: Implements the LS-PLS (least squares - partial least
squares) method described in for instance J�rgensen, K.,
Segtnan, V. H., Thyholt, K., N�s, T. (2004) A Comparison of
Methods for Analysing Regression Models with Both Spectral and
Designed Variables.  Journal of Chemometrics, 18(10), 451--464.

Authors@R: c(person("Bjørn-Helge", "Mevik", role = c("aut", "cre"),
Imports: grDevices, graphics, methods, stats
method described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K.,
Næs, T. (2004)  "A Comparison of Methods for Analysing Regression Models with

Title: Classification using LS-PLS for Logistic Regression
Description: Fit logistic regression models using LS-PLS approaches
to analyse both clinical and genomic data. (C. Bazzoli and
S. Lambert-Lacroix. (2017) Classification using LS-PLS with
logistic regression based on both clinical and gene expression

Title: Companion to "Learning Statistics with R"
Description: Functions that I have found useful for teaching purposes.
Packaged: 2012-01-23 03:09:01 UTC; danielnavarro

Description: Functions that I have found useful for teaching purposes. purposes.

Title: Companion package to "Learning Statistics with R"