% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/tobacco.R
\docType{data}
\name{tobacco}
\alias{tobacco}
\title{Tobacco Leaf Chemical Composition Dataset}
\format{
A data frame with 25 rows and 9 variables:
\describe{
  \item{cigarette}{Numeric. Rate of cigarette burn in inches per 1000 seconds.}
  \item{sugar}{Numeric. Percentage of sugar content in the leaf.}
  \item{nicotine}{Numeric. Percentage of nicotine content.}
  \item{nitrogen}{Numeric. Percentage of nitrogen content.}
  \item{chlorine}{Numeric. Percentage of chlorine content.}
  \item{potassium}{Numeric. Percentage of potassium content.}
  \item{phosphorus}{Numeric. Percentage of phosphorus content.}
  \item{calcium}{Numeric. Percentage of calcium content.}
  \item{magnesium}{Numeric. Percentage of magnesium content.}
}
}
\source{
Anderson, R. L. and Bancroft, T. A. (1952), Statistical Theory in Research,
McGraw-Hill Book Company, Inc., New York, NY.
}
\usage{
data(tobacco)
}
\description{
A dataset containing chemical composition measurements from 25 tobacco leaf samples.
This dataset is commonly used for demonstrating multivariate regression analysis
and exploring relationships between chemical components and burn rate.
}
\details{
This dataset is particularly useful for:
\itemize{
  \item Demonstrating multivariate regression analysis
  \item Studying relationships between chemical composition and burn rate
  \item Analyzing correlations between different chemical components
  \item Teaching statistical methods in agricultural research
}
}
\examples{
# Load the dataset
data(tobacco)

# View the first few rows
head(tobacco)

# Summary statistics
summary(tobacco)

# Correlation analysis
cor(tobacco)

}
\keyword{datasets}
