[amp_mcq option1=”findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies” option2=”findLinearCombos will return a list that enumerates dependencies” option3=”the function findLinearRows can be used to generate a complete set of row variables from one factor” option4=”none of the mentioned” correct=”option1″]
The correct answer is: A. findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies.
findLinearColumns is a function in R that returns a vector of column positions that can be removed to eliminate the linear dependencies in a data frame. The function works by first finding all of the linear dependencies in the data frame. It then returns a vector of column positions that, if removed, will eliminate all of the linear dependencies.
The function findLinearCombos is a function in R that returns a list that enumerates dependencies in a data frame. The function works by first finding all of the linear dependencies in the data frame. It then returns a list of all of the possible combinations of columns that can be used to create a linear dependency.
The function findLinearRows is a function in R that can be used to generate a complete set of row variables from one factor. The function works by first finding all of the unique values in the factor. It then returns a vector of row variables that, when combined with the factor, will create a complete set of row variables.
Therefore, the correct answer is: A. findLinearColumns will also return a vector of column positions can be removed to eliminate the linear dependencies.