Hotel: Hotel
R: Hotel
HotelR Documentation
Hotel
R: Hotel
HotelR Documentation
Hotel
R: Hotel data
HotelR Documentation
Hotel data
R: French Hotels
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Hotel reviews
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: French Hotels
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
R: Hotelling
Hotelling-packageR Documentation
Hotelling
R: Hotelling
Hotelling-packageR Documentation
Hotelling
Package: Hotelling
Version: 1.0-8
Date: 2021-09-09
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
data("Hotels")
Format
Data frame with 23 rows and 8 columns. Definition of inputs (X) and outputs (Y):
) reading power, 3) arithmetic speed, and 4) arithmetic power.
Usage
hotelling
satisfaccion de los clientes de hoteles
Description
Cuestionario acerca de la satisfaccion de los clientes acerca del
Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R
for the test statistic which is exact under finite sample size.
Usage
hotelling(beta, Sigma, n, mu_null = rep(0, length(beta
of Washington.
Usage
data("WA")
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
data("Hotels")
Format
Data frame with 23 rows and 8 columns. Definition of inputs (X) and outputs (Y):
of Washington.
Usage
data("WA")
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