Tutorial 3: Use the laser data given in tutorial 1. (1) Draw a scatter matrix of the data. (2) The response variables are power and lambda , the predictors are ifront and iback. Do a conditional plot for each response vs one predictor conditioning on the other predictor. (3) Do a conditional plot the responses on the predictors. (4) Interpret the results. Using R and the iris dataset: Iris data: This (Fisher's or Anderson's) iris data set gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. (5) Manipulate the data fro a 3d array to a 2d array and a 5th variable giving the spices. (6) Do a parallel coordinates plot of the variables and search for clusters. DO they correspond to the three species? (7) Do separated parallel coordinate plot of the three species and use it to explain the difficulty with the clustering.