Using sklearnex produces 'AttributeError: 'PCA' object has no attribute 'n_oversamples''

### Describe the bug

Attempting to run the code below results in an error when `sklearnex` is combined with `PCA`. This line produces the error shown below

> python -m sklearnex PCA_test.py

this line does not

> python PCA_test.py


### Steps/Code to Reproduce

Store this code in a `PCA_test.py` file

```
import numpy as np
from sklearn.decomposition import PCA

data = np.random.uniform(-10, 10, (1000, 3))
pca = PCA(n_components=3)
data_pca = pca.fit(data).transform(data)
```

### Expected Results

No error

### Actual Results

Intel(R) Extension for Scikit-learn* enabled (https://github.com/intel/scikit-learn-intelex)
Traceback (most recent call last):
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/site-packages/sklearnex/__main__.py", line 55, in <module>
    sys.exit(_main())
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/site-packages/sklearnex/__main__.py", line 52, in _main
    runf(args.name, run_name='__main__')
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/runpy.py", line 265, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "PCA_test.py", line 9, in <module>
    data_pca = pca.fit(data).transform(data)
  File "/home/gperren/miniconda3/envs/pyupmask/lib/python3.8/site-packages/sklearn/decomposition/_pca.py", line 402, in fit
    self.n_oversamples,
AttributeError: 'PCA' object has no attribute 'n_oversamples'


### Versions

```shell
System:
    python: 3.8.13 (default, Mar 28 2022, 11:38:47)  [GCC 7.5.0]
executable: /home/gperren/miniconda3/envs/pyupmask/bin/python
   machine: Linux-5.0.16-100.fc28.x86_64-x86_64-with-glibc2.17

Python dependencies:
      sklearn: 1.1.1
          pip: 21.2.4
   setuptools: 61.2.0
        numpy: 1.22.3
        scipy: 1.7.3
       Cython: None
       pandas: None
   matplotlib: None
       joblib: 1.1.0
threadpoolctl: 2.2.0

Built with OpenMP: True

threadpoolctl info:
       filepath: /home/gperren/miniconda3/envs/pyupmask/lib/python3.8/site-packages/scikit_learn.libs/libgomp-a34b3233.so.1.0.0
         prefix: libgomp
       user_api: openmp
   internal_api: openmp
        version: None
    num_threads: 48

       filepath: /home/gperren/miniconda3/envs/pyupmask/lib/libmkl_rt.so.1
         prefix: libmkl_rt
       user_api: blas
   internal_api: mkl
        version: 2021.4-Product
    num_threads: 24
threading_layer: intel

       filepath: /home/gperren/miniconda3/envs/pyupmask/lib/libiomp5.so
         prefix: libiomp
       user_api: openmp
   internal_api: openmp
        version: None
    num_threads: 48
```

COMMENT:
Please raise the issue to https://github.com/intel/scikit-learn-intelex/issues
We are not maintaining this third-party project.

The snippet of code works fine with `scikit-learn`.

Labels: Bug, Needs Triage