You are working with a numerical dataset that has missing values in multiple columns. You need to clean the missing data using an appropriate method that preserves the dimensionality of the feature set. The goal is to perform an analysis on the complete dataset with no missing values.

Solution: Apply the Last Observation Carried Forward (LOCF) method to impute the missing data points.

Does this solution achieve the goal?