Use the following to create a PCA object that uses only the first six principal components:

 pca = PCA(n_components=6,random_state=100) 

Use this object to fit and transform the data. Use this transformed data in sklearn linear model to predict. What would the mean squared error of this model be (up to two decimal places)?

0.43

0.53

0.33

0.23