EDXRF, marginal and multivariate normality, code in R

link: http://archive.ics.uci.edu/ml/datasets/Chemical+Composition+of+Ceramic+Samples

6. The energy dispersive Xray uorescence (EDXRF) was used to determine the chemical composition of celadon body and glaze in Longquan kiln (at Dayao County) and Jingdezhen kiln. Forty typical shards in four cultural eras were selected to investigate the raw materials and ring technology. You may nd the data set and its description on UCI Machine Learning Repository, or download it from the course website. Suppose we are interested in only four chemical compositions: MnO, CuO, Zr02, and P205. (a) Examine the data for marginal and multivariate normality. (b) We want to conduct further statistical inference based on the assumption of normality. According to (b), do we need to transform the data or remove any data points? If so, please implement it in R and re-examine the data again. If not, please explain