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 does not reduce the dimensionality of the feature set. The goal is to perform analysis on a complete dataset that includes all values.

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

Does this solution achieve the goal?