<s>[INST] from sklearn import datasets
iris = datasets.load_iris()
x = iris.data
y = iris.label

now we have the x as independent variables and y as dependent variables 

but here x has 4 dimensions  (4 features- Sepal length, Sepal width, Petal length, and Petal width)
so u have to do dimensionality reduction, lets choose PCA(data transformation)

from sklearn import decomposition(model selection)| Apparently you would get an error
from sklearn.decomposition import PCA
x_pca = PCA(n_components=1).fit_transform(x)
____?[/INST]