Rather than reading a model from an MPS file we can load a model from arrays in memory. There are various loadProblem methods which are similar to those in OSI. It is easy to add more such methods to CLP if the need arises.
We can copy in integer information by copyInIntegerInformation(const char * array) where array is 0 or 1 to say integer and we can drop existing information by deleteIntegerInformation(). There are various ways of changing the size of a model. The simplest is by the use of the method resize(newNumberRows,newNumberColumns) - this will either truncate the model or add "default" rows or columns - a default row has lower bound of -infinity and upper bound of +infinity, while a default column has zero cost, zero lower bound and an upper bound of +infinity.
Normally we would use deleteRows, addRows, deleteColumns and addColumns, where the add methods will also add in the elements. A potentially very useful way of modifying a model is strictly a constructor. Given a large model and a list of rows and a list of columns it constructs the model as a subset of the large model. It is possible to change the order of the columns/rows and to duplicate columns/rows. So a list of columns 4,4,1,0 will create a new model where the first two columns are copies of column 4 in original model and the next two are the first two of original model in reverse order. This can be useful to form a model with piecewise linear costs by duplicating columns and then modifying bounds and costs.